Advanced search
Publication Cover
Cogent Food & Agriculture Volume 9, 2023 - Issue 2
Submit an article Journal homepage
1,397
Views
3
CrossRef citations to date
0
Altmetric
SOIL & CROP SCIENCES

Land degradation unmasked as the key constraint in sunflower (Helianthus annus) production: Role of GIS in revitalizing this vital sector

Emmanuely Z. Nungula1 Department of Agricultural Science and Technology, School of Agriculture and Environmental Sciences, Kenyatta University, Nairobi, Kenya;2 Centre of Environment and Sustainable Development, Mzumbe University, Morogoro, TanzaniaView further author information
,
Jayne Mugwe1 Department of Agricultural Science and Technology, School of Agriculture and Environmental Sciences, Kenyatta University, Nairobi, KenyaORCID Iconhttps://orcid.org/0000-0003-1405-7166View further author information
ORCID Icon,
Jamal Nasar3 Institute of Rice Industry Technology Research, Key Laboratory of Functional Agriculture, College of Agricultural Sciences, Guizhou University, Guiyang, ChinaORCID Iconhttps://orcid.org/0000-0003-4559-0676View further author information
ORCID Icon,
Boniface H. J. Massawe4 Department of Soil and Geological Science, Sokoine University of Agriculture, Morogoro, TanzaniaORCID Iconhttps://orcid.org/0000-0002-8233-7058View further author information
ORCID Icon,
Anne N. Karuma5 Department of Land Resource Management and Agricultural Technology, College of Agriculture and Veterinary Sciences, University of Nairobi, Nairobi, KenyaORCID Iconhttps://orcid.org/0000-0002-4497-2173View further author information
ORCID Icon,
Sagar Maitra6 Department of Agronomy and Agroforestry, Centurion University of Technology and Management, Khurda, IndiaORCID Iconhttps://orcid.org/0000-0001-8210-1531View further author information
ORCID Icon,
Mahmoud F. Seleiman7 Plant Production, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi ArabiaView further author information
,
Turgay Dindaroglu8 Department of Forest Engineering, Faculty of Forestry, Karadeniz Technical UniversityTrabzon, TurkeyORCID Iconhttps://orcid.org/0000-0003-2165-8138View further author information
ORCID Icon,
Naeem Khan9 Department of Agronomy, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, USAView further author information
&
Harun I. Gitari1 Department of Agricultural Science and Technology, School of Agriculture and Environmental Sciences, Kenyatta University, Nairobi, KenyaCorrespondence[email protected]
View further author information
 show all
Article: 2267863 | Received 02 May 2023, Accepted 03 Oct 2023, Published online: 13 Oct 2023

References

  • Abah, R. C., & Mareme, B. J. (2015). Crop suitability mapping for cassava, yam, and rice. Journal of Agriculture Science, 9(1), 1916–24. https://doi.org/10.5539/jas.v9n1p96
  • Abdelrahman, M. A. E., Natarajan, A., & Hegde, R. (2016). Assessment of land suitability and capability by integrating remote sensing and GIS for agriculture in Chamarajanagar district, Karnataka, India. The Egyptian Journal of Remote Sensing & Space Science, 19(1), 125–141. https://doi.org/10.1016/j.ejrs.2016.02.001
  • Abou El-Magd, M. C. M., El-Bassiony, A. M., & Fawzy, Z. F. (2006). Effect of organic manure without chemical fertilizers on growth, yield, and quality of some varieties of broccoli plants. Journal of Applied Science Research, 2(10), 791–798.
  • Achoki, D. O., & Gichaba, C. M. (2015). Geographic information systems and remote sensing for food security in. Department of Geology; University of Nairobi.
  • Agy, M. S. F. A., Oliveira, R. L., Carvalho, G. G. P., Leao, A. G., & Ribeiro, O. L. (2012). Ingestive behavior and physiological responses of goats fed with diets containing sunflower cake from biodiesel production. Arqueol Brasilliensia Medical Vertenary and Zootec, 64(5), 1292–1301. https://doi.org/10.1590/S0102-09352012000500029
  • Alberio, C., Izquierdo, N. G., & Aguirrezábal, L. A. N. (2005). Sunflower Crop Physiology and Agronomy. In E. Martínez-Force, N. T. Dunford, & J. J. Salas, (Eds.), Sunflower (pp. 53–91). AOCS Press. https://doi.org/10.1016/B978-1-893997-94-3.50009-X
  • Ali, A., & Ullah, S. (2012). Effect of nitrogen on achene protein, oil, fatty acid profile, and yield of sunflower hybrids. Chilean Journal of Agriculture Resources, 72(4), 564–567. https://doi.org/10.4067/S0718-58392012000400016
  • Altieri, M. A. (1995). Agroecology: The science of sustainable agriculture (2nd ed.). Westview Press.
  • Andrew, R. L., Kane, N. C., Baute, G. J., Grassa, C. J., & Rieseberg, L. H. (2013). Recent nonhybrid origin of sunflower ecotypes in a novel habitat. Molecular Ecology, 22(3), 799–813. https://doi.org/10.1111/mec.12038
  • Arabameri, A., Cerda, A., & Tiefenbacher, J. P. (2019). Spatial pattern analysis and prediction of gully erosion using a novel hybrid model of entropy-weight of evidence. Water, 11(6), 1129. https://doi.org/10.3390/w11061129
  • Ashraf, S. (2010). Land suitability analysis for wheat using multi-criteria evaluation and GIS method. Research Journal of Biological Science, 5(9), 601–605. https://doi.org/10.3923/rjbsci.2010.601.605
  • Atlas Big. (2022). World sunflower production by country. Accessed at world sunflower production by country. Retrieved September 21, 2022, from https://www.atlasbig.com
  • Babec, B., Šeremešić, S., Hladni, N., Cuk, N., Stanisavljevi´c, D., & Rajkovi´c, M. (2021). Potential of sunflower-legume intercropping: A way forward in sustainable production of sunflower in temperate climatic conditions. Agronomy, 11(12), 2381. https://doi.org/10.3390/agronomy11122381
  • Babec, B., Šeremešić, S., Hladni, N., Terzić, S., Vojnov, B., Ćuk, N., & Gvozdenac, S. (2020). Effect of intercropping sunflower with legumes on some sunflower morphological traits. Ratarstvo i Povrtarstvo, 57(2), 61–67. https://doi.org/10.5937/ratpov57-23813
  • Bandyopadhyay, S., Jaiswal, R. K., Hegde, V. S., & Jayaraman, V. (2009). Assessment of land suitability potentials for agriculture using a remote sensing and GIS-based approach. International Journal of Remote Sensing, 30(4), 879–895. https://doi.org/10.1080/01431160802395235
  • Baniya, N., Böehme, M., & Baniya, S. (2009). Physical land suitability assessment for the large cardamom Amomum subulatum Roxb. cultivation in hills of Kathmandu Valley. Chinese Journal of Population Resources and Environment, 7(4), 59–63. https://doi.org/10.1080/10042857.2009.10684954
  • Barbier, E. B., Hochard, J. P., & Vadrevu, K. P. (2016). Does land degradation increase poverty in developing countries? PLoS One, 11(5), e0152973. https://doi.org/10.1371/journal.pone.0152973
  • Bayu, W., Rethman, N. F. G., Hammers, P. S., & Alemu, G. (2006). Effects of farmyard manure and inorganic fertilizers on sorghum growth, yield, and nitrogen use in a semi-arid area of Ethiopia. Journal of Plant Nutrition, 29(2), 391–407. https://doi.org/10.1080/01904160500320962
  • Behera, S. K., & Shukla, A. K. (2015). Spatial distribution of surface soil acidity, electrical conductivity, soil organic carbon content, and exchangeable potassium, calcium, and magnesium in some cropped acid soils of India. Land Degradation and Development, 26(1), 71–79. https://doi.org/10.1002/ldr.2306
  • BoT–Bank of Tanzania. (2018). Annual report 2016/17. 254. Retrieved August 10, 2022, from https://www.bot.og.tz
  • Brady, N. C., & Weil, R. R. (2008). The nature and properties of soils (14th ed.). Pearson Prentice Hall.
  • Bruinsma, J. (2009). The resource outlook to 2050: How much do land, water, and crop yields need to increase by 2050? Conference: How to feed the world in 2050. Proceeding of a technical meeting of experts, Rome, Italy, June 24–26(pp. 1–33).
  • Ceballos, F., Hernandez, M. A., Minot, N., & Robles, M. (2017). Grain price and volatility transmission from International to domestic markets in developing countries. World Development, 94, 305–320. https://doi.org/10.1016/j.worlddev.2017.01.015
  • Chappa, L. R., Mugwe, J., Gitari, H. H., & Maitra, S. (2023). Upholding sunflower (Helianthus annuus) yield and profitability while maintaining soil fertility under intercropping with Sunn Hemp and mineral fertilizer application. International Journal of Bioresource Science, 10(1), 31–49. https://doi.org/10.30954/2347-9655.01.2023.4
  • Chappa, L. R., Mugwe, J., Maitra, S., & Gitari, H. I. (2022). Current status and prospects of improving sunflower production in Tanzania through intercropping with Sunn Hemp. International Journal of Bioresource Science, 9(1), 1–8. https://doi.org/10.30954/2347-9655.01.2022.1
  • Cleaver, J., Schram, R., & Wanga, G.(2010). Bioenergy in Tanzania: The country context. In Chapter 3. Bioenergy and Food Security—The BEFS Analysis for Tanzania 2071-0992 FAO; Food and Agriculture Organization of the United Nations. Rome, Italy.
  • El Baroudy, A. A. (2016). Mapping and evaluating land suitability using a GIS-based model. Catena, 140, 96–104. https://doi.org/10.1016/j.catena.2015.12.010
  • Eskandari, H., Alizadeh-Amraie, A., & Kazemi, K. (2019). Effect of drought stress caused by partial root zone irrigation on water use efficiency and grain yield of maize (zea mays L.) and mung bean (Vigna radiata L.) in different intercropping planting patterns. Environmental Stresses in Crop Sciences, 12(1), 29–40.
  • FAO- Food and Agriculture Organization. (1976). A framework for land evaluation: Soils bulletin 32. Food and Agriculture Organization of the United Nations,
  • FAO- Food and Agriculture Organization. (2017). Regional overview of food insecurity and nutrition: The Food security and nutrition-Conflict Nexus: Building resilience for food security, nutrition and peace. Food and Agriculture Organization of the United Nations.
  • FAOSTAT-Food and Agriculture Organization of the United Nations. (2022). Statistics database. Retrieved September 10, 2022, from http://faostat3.fao.org
  • Forkuo, E. K., & Nketia, A. K. (2011). Digital soil mapping in GIS Environment for crop-land suitability analysis. International Journal of Geomatics & Geosciences, 2(1), 133–146.
  • Fullen, M. A., & Catt, J. A. (2004). Soil management: Problems and solutions. European Journal of Soil Science, 56(5), 681–687. https://doi.org/10.1111/j.1365-2389.2005.00756.x
  • Funakawa, S., Yoshida, H., Watanabe, T., Sugihara, S., & Kosaki, T. (2012). Soil fertility status and its determining factors in Tanzania. In Soil health and land use management. IntechOpen. https://doi.org/10.5772/29199.
  • García-Vila, M., Fereres, E., Prieto, M. H., Ruz, C., & Soriano, M. A. (2012). Sunflower. In P. Steduto, T. C. Hsiao, E. Fereres, & D. Raes (Eds.), Crop yield response to water (pp. 164–173). FAO.
  • Gitari, H. I., Gachene, C. K. K., Karanja, N. N., Kamau, S., Nyawade, S., & Schulte-Geldermann, E. (2019). Potato-legume intercropping on sloping terrain and its effects on soil physico-chemical properties. Plant and Soil, 438(1–2), 447–460. https://doi.org/10.1007/s11104-019-04036-7
  • Gitari, H. I., Gachene, C. K. K., Karanja, N. N., Kamau, S., Nyawade, S., Sharma, K., & Schulte-Geldermann, E. (2018a). Nitrogen and phosphorous uptake by potato (Solanum tuberosum L.) and their use efficiency under potato-legume intercropping systems. Field Crops Research, 222, 78–84. https://doi.org/10.1016/j.fcr.2018.03.019
  • Gitari, H. I., Gachene, C. K. K., Karanja, N. N., Kamau, S., Nyawade, S., Sharma, K., & Schulte-Geldermann, E. (2018b). Optimizing yield and economic returns of rain-fed potato (Solanum tuberosum L.) through water conservation under potato-legume intercropping systems. Agriculture and Water Management, 208, 59–66. https://doi.org/10.1016/j.agwat.2018.06.005
  • Gitari, H. I., Nyawade, S. O., Kamau, S., Karanja, N. N., Gachene, C. K. K., Raza, M. A., Maitra, S., & Schulte-Geldermann, E. (2020). Revisiting intercropping indices with respect to potato-legume intercropping systems. Field Crops Research, 258, 107957. https://doi.org/10.1016/j.fcr.2020.107957
  • Goher, R., Alkharabsheh, H. M., Seleiman, M. F., Diatta, A. A., Gitari, H., Wasonga, D. O., Khan, G. R., & Akmal, M. (2023). Impacts of heat shock on productivity and quality of Triticum aestivum L. at different growth stages. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 51(1), 13090. https://doi.org/10.15835/nbha51113090
  • Gudu, S., Kisinyo, P., Makatiani, E., Odee, D., Esegu, J., Shamchama, S., Othieno, C., Okalebo, J., Osiyo, J., & Owuoche, J. (2009). Screening of Sesbania for tolerance to aluminium toxicity and symbiotic effectiveness with acid tolerant rhizobia strains in acid soil in Western Kenya. Experimental Agriculture, 45(4), 417–427. https://doi.org/10.1017/S0014479709990044
  • Haile, M. A., Karanja, N. N., Nyawade, S. O., Gitari, H., Cheruto, G., Nyawira, L., Raza, M. A., & Kamau, S. (2023). Lupin and Lima beans diminish potatoes’ N and P uptake, uptake efficiency, and use efficiency. Potato Research, 1–7. https://doi.org/10.1007/s11540-023-09625-9
  • Halder, B., Bandyopadhyay, J., & Banik, P. (2020). Assessment of hospital sites’ suitability by spatial information technologies using AHP and GIS-based multi-criteria approach of rajpur–sonarpur municipality. Modeling Earth Systems and Environment, 6(4), 2581–2596. https://doi.org/10.1007/s40808-020-00852-4
  • Heckman, J. R., Sims, J. T., Beegle, D. B., Coale, F. J., Herbert, S. J., Bruulsema, T. W., & Bamka, W. J. (2003). Nutrient removal by corn grain harvest. Agronomy Journal, 95(3), 587–591. https://doi.org/10.2134/agronj2003.5870
  • Heydarzadeh, S., Gitari, H., Rahimi, A., Khiavi, H. K., Maitra, S., & Hosseinpour, A. (2021). Yield and quality traits of field-grown sugar beet (beta vulgaris L.) in response to foliar application of micronutrients and different levels of manure. International Journal of Bioresource Science, 8(2), 103–112. https://doi.org/10.30954/2347-9655.02.2021.7
  • Hossain, M. F. (2006). Nutrients removed in harvested portion of crop by continuous corn receiving organic and inorganic fertilizers. Journal of Plant Sciences, 1(3), 264–272. https://doi.org/10.3923/jps.2006.264.272
  • Isdory, D. P., Massawe, B. H. J., & Msanya, B. M. (2021). Predicting soil ECe based on values of EC1: 2.5 as an indicator of soil salinity at Magozi irrigation scheme, Iringa, Tanzania. Tanzania Journal of Agricultural Sciences, 20(1), 63–71.
  • Jamil, M., Sahana, M., & Sajjad, H. (2018). Crop suitability analysis in the Bijnor district, UP, using geospatial tools and fuzzy analytical hierarchy process. Agribiological Research, 7(8), 506–522. https://doi.org/10.1007/s40003-018-0335-5
  • Jena, J., Maitra, S., Hossain, A., Pramanick, B., Gitari, H. I., Praharaj, S., Shankar, T., Palai, J. B., Rathore, A., Mandal, T. K., & Jatav, H. S. (2022). Role of legumes in cropping system for soil ecosystem improvement. In H. Jatav & V. Rajput(Eds.), Ecosystem services: Types, management, and benefits. Nova Science Publishers, Inc. 415 Oser Avenue, Suite N Hauppauge, NY, 11788 USA. https://doi.org/10.52305/PFZA6988
  • Kamau, S. K., Kuria, D., & Gachari, M. K. (2015). Crop-land suitability analysis using GIS and remote sensing in Nyandarua County, Kenya. Journal of Environment and Earth Science, 5(6), 121–131.
  • Kihoro, J., Bosco, N., & Murage, H. (2013). Suitability analysis for rice growing sites using a multi-criteria evaluation and GIS approach in great Mwea region, Kenya. International Journal of Science & Emerging Technologies, 2(1), 12–20. https://doi.org/10.1186/2193-1801-2-265
  • Kimaro, D., & Hieronimo, P. (2014). Land for agriculture in Tanzania: Challenges and opportunities. Journal of Land and Society, 1(1), 91–102.
  • Kimaro, D. N., Msanya, B. M., Mwango, S. B., Kimbi, G. G., & Kileo, E. P. (2001). Land suitability evaluation for the production of the major crops in the Southwestern part of the Uluguru Mountains, Morogoro rural district, Tanzania. Soils and Land Resources of Morogoro Rural and Urban Districts, 2.
  • Kimbi, G. G., Rutachokizibwa, V., Mollel, N. M., Simalenga, T. E., Ngetti, M. S., & Biswalo, P. L. (2011). Identification of SUA-TU linkage Project needs assessment: A preliminary survey. Report submitted to SUA-TU Linkage Project Institute of Continuing Education. Sokoine University of Agriculture.
  • Kiriba, D., Thuita, M., Semu, E., Ikerra, S., Msanya, B., & Masso, C. (2019). Maize response to chemical and microbial products on two Tanzanian soils. Journal of Agricultural Science, 11(2), 1–11. https://doi.org/10.5539/jas.v11n2p71
  • Kirui, O. K. (2016) Economics of land degradation, sustainable land management and poverty in Eastern Africa – The extent, drivers, Costs and impacts. [ PhD Thesis, University of Bonn].
  • Kisaka, M. O., Shisanya, C., Cournac, L., Manlay, J. R., Gitari, H., & Muriuki, J. (2023). Integrating no-tillage with agroforestry augments soil quality indicators in Kenya’s dry-land agroecosystems. Soil and Tillage Research, 227, 105586. https://doi.org/10.1016/j.still.2022.105586
  • Kumar, E. S., Mandal, T. K., Mishra, G. C., Barman, S., & Maitra, S. (2019). Effect of intercropping summer sunflower (Helianthus annuus L.) with legumes on yield attributes and productivity of crops. International Journal of Agriculture, Environment and Biotechnology, 12(3), 281–285.
  • Kunduraci, B. S., Bayrak, A., & Kiralan, M. (2010). Effect of essential oil extracts from oregano (Origanum onites L.) leaves on the oxidative stability of refined sunflower oil. Asian Journal of Chemistry, 22(2), 1377–138.
  • Leyaro, V., & Morrissey, O. (2013). Expanding agricultural production in Tanzania. Scoping study for IGC Tanzania on the National Panel Surveys.
  • Li, Y., Ran, W., Zhang, R., Sun, S., & Xu, G. (2009). Facilitated legume nodulation, phosphate uptake, and nitrogen transfer by arbuscular inoculation in an upland rice and mung bean intercropping system. Plant and Soil, 315(1–2), 285–296. https://doi.org/10.1007/s11104-008-9751-9
  • Lithourgidis, A. S., Vlachostergios, D. N., Dordas, C. A., & Damalas, C. A. (2011). Dry matter yield, nitrogen content, and competition in pea–cereal intercropping systems. The European Journal of Agronomy, 34(4), 287–294. https://doi.org/10.1016/j.eja.2011.02.007
  • Maitra, S., Ghosh, D. C., Sounda, S., & Jana, P. K. (2001). Performance of intercropping legumes in finger millet (Eleusine coracana) at varying fertility levels. Indian Journal of Agronomy, 46(1), 38–44.
  • Maitra, S., Ghosh, D. C., Sounda, G., Jana, P. K., & Roy, D. K. (2000). Productivity, competition and economics of intercropping legumes in finger millet (Eleusine coracana) at different fertility levels. Indian Journal of Agricultural Sciences, 70(12), 824–828.
  • Maitra, S., Hossain, A., Brestic, M., Skalicky, M., Ondrisik, P., Gitari, H., Brahmachari, K., Shankar, T., Bhadra, P., Palai, J. B., Jena, J., Bhattacharya, U., Duvvada, S. K., Lalichetti, S., & Sairam, M. (2021). Intercropping: A low input agricultural strategy for food and environmental security. Agronomy, 11(2), 343. https://doi.org/10.3390/agronomy11020343
  • Maitra, S., Samui, R. C., Roy, D. K., & Mondal, A. K. (2001). Effect of a cotton-based intercropping system under rainfed conditions in the Sundarban region of West Bengal. Indian Agriculturist, 45(3–4), 157–162.
  • Majule, A. E. (2017). Land degradation neutrality target setting process (LDN TSP): Report on LDN target setting, submitted to UNCCD National focal point, Vice President’s office. Vice President’s Office.
  • Makinde, E. A., & Ayoola, A. A. (2008). Residual influence of early season crop fertilization and cropping system on growth and yield of cassava. American Journal of Agriculture and Biological Science, 3(4), 712–715. https://doi.org/10.3844/ajabssp.2008.712.715
  • Malczewski, J., & Boroushaki, S. (2008). Implementing an extension of the analytical hierarchy process using ordered weighted averaging operators with fuzzy quantifiers in ArcGIS. Computational Geoscience, 34(4), 399–410. https://doi.org/10.1016/j.cageo.2007.04.003
  • Manasa, P., Maitra, S., & Reddy, M. D. (2018). Effect of Summer maize-legume intercropping system on growth, productivity and competitive ability of crops. International Journal of Management, Technology, and Engineering, 8(12), 2871–2875.
  • Mao, L., Zhang, L., Li, W., van der Werf, W., Sun, J., Spiertz, H., & Li, L. (2012). Yield advantage and water saving in maize/pea intercrop. Field Crop Research, 138, 11–20. https://doi.org/10.1016/j.fcr.2012.09.019
  • Marx, E., Hart, J., & Stevens, R. (1999). Soil test interpretation guide. Oregon State University Extension Service.
  • Mbayaki, C. W., & Karuku, G. N. (2022). Soil hydraulic properties of a chromic luvisol in Katumani, Kenya. Tropical and Subtropical Agroecosystems, 25(9), 1–13. https://doi.org/10.56369/tsaes.4200
  • Meng, Q., Liu, Z., & Borders, B. E. (2013). Assessment of regression kriging for spatial interpolation–comparisons of seven GIS interpolation methods. Cartography and Geographic Information Science, 40(1), 28–39. https://doi.org/10.1080/15230406.2013.762138
  • Michael, A., Kuznetsov, D., & Mirau, S. (2014). Estimation of irrigation water demand in rice production Tanzania. Mathematical Theory Model, 4(7), 24–39. https://doi.org/10.11648/j.acm.20140304.19
  • Mobasser, H. R., Vazirimehr, M. R., & Khashayar, R. K. (2014). Effect of intercropping on resource use, weed management, and forage quality. International Journal of Plant Animal Environment and Science, 4(5), 706–713.
  • Mohammadi, K., & Sohrabi, Y. (2012). Bacterial biofertilizers for sustainable crop production: A review. Journal of Agricultural and Biological Science, 7, 307–316.
  • Mokarram, M., & Aminzadeh, F. (2010). GIS-based multi-criteria land suitability evaluation using ordered weight averaging with fuzzy quantifier: A case study in shavur plain. Remote Sensing Spatial Information Science, 38(2), 508–512.
  • Mongi, H. J. (2012). Addressing land degradation in Tanzania: Contemporary issues related to policies and strategies. Available at SSRN 2150752.
  • Morris, R., & Garrity, D. (1993). Resource capture and utilization in intercropping; non-nitrogen nutrients. Field Crops Research, 34(3–4), 319–334. https://doi.org/10.1016/0378-4290(93)90120-c
  • Msanya, B. M., Munishi, J., Amuri, N., Semu, E., Mhoro, L., & Malley, Z. (2016). Morphology, genesis, physico-chemical properties, classification and potential of soils derived from volcanic parent materials in selected districts of Mbeya region. International Journal of Plant & Soil Science, 10(4), 1–19. https://doi.org/10.9734/IJPSS/2016/24855
  • Msanya, B. M., Mwasyika, T. A., Amuri, N., Semu, E., & Mhoro, L. (2018). Pedological characterization of typical soils of Dodoma capital city district, Tanzania: Soil morphology, physico-chemical properties, classification, and soil fertility trends. Annals of Advanced Agricultural Sciences, 2(4). https://doi.org/10.22606/as.2018.24002
  • Mucheru-Muna, M., Pypers, P., Mugendi, D., Kung’u, J., Mugwe, J., Merckx, R., & Vanlauwe, B. (2010). A staggered maize–legume intercrop arrangement robustly increases crop yields and economic returns in the highlands of Central Kenya. Field Crops Research, 115(2), 132–139. https://doi.org/10.1016/j.fcr.2009.10.013
  • Mueller, R. (2019). GIS for agriculture; GIS best practices. Retrieved August 5, 2022, from www.esri.com
  • Mugo, N. J., Karanja, N. N., Gachene, C. K., Dittert, K., Gitari, H. I., & Schulte-Geldermann, E. (2021). Response of potato crop to selected nutrients in central and Eastern highlands of Kenya. Cogent Food & Agriculture, 7, 1898762. https://doi.org/10.1080/23311932.2021.1898762
  • Mugo, J. W., Kariuki, P. C., & Musembi, D. K. (2016). Identification of suitable land for green gram production using GIS-Based analytical hierarchy process in Kitui County, Kenya. Journal of Remote Sensing & GIS, 5(3). https://doi.org/10.4172/2469-4134.1000170
  • Mugwe, J., Ngetich, F., & Otieno, E. O. (2019). Integrated soil fertility management in sub-Saharan Africa: Evolving paradigms toward integration. In F. Leal, A. Azul, L. Brandli, P. Özuyar, & T. Wall (Eds.), Zero hunger. Encyclopedia of the UN sustainable development goals. Springer. https://doi.org/10.1007/978-3-319-69626-3_71-1
  • Mustafa, A. A., Singh, M., Sahoo, R. N., Ahmed, N., Khanna, M., Sarangi, A., & Mishra, A. K. (2011). Land suitability analysis for different crops: A multi-criteria decision making approach using remote sensing and GIS. The Researcher, 3(12), 61–84.
  • Mwadalu, R., Mochoge, B., Mwangi, M., & Gitari, H. (2022). Heightening sorghum nitrogen uptake while maintaining optimal soil nutrient levels through mineral fertilizer application. Journal of Applied Life Sciences and Environment, 54(4), 458–472. https://doi.org/10.46909/journalalse-2021-040
  • Mwadalu, R., Mochoge, B., Mwangi, M., Maitra, S., & Gitari, H. (2022). Response of Gadam sorghum (Sorghum bicolor) to farmyard manure and inorganic fertilizer application. International Journal of Agriculture, Environment and Biotechnology, 15(15(1), 51–60. https://doi.org/10.30954/0974-1712.01.2022.6
  • Mwakidoshi, E. R., Gitari, H. I., Muindi, E. M., Wamukota, A. W., Seleiman, M. F., & Maitra, S. (2023). Smallholder farmers’ knowledge of the use of bioslurry as a soil fertility amendment for potato production in Kenya. Land Degradation & Development, 34(8), 2214–2227. https://doi.org/10.1002/ldr.4601
  • Mwendwa, S. M., Mbuvi, J. P., & Kironchi, G. (2019). Land evaluation for crop production in Upper Kabete Campus field, University of Nairobi, Kenya. Chemical and Biological Technologies in Agriculture, 6(16), 1–10. https://doi.org/10.1186/s40538-019-0156-1
  • Nasar, J., Zhao, C. J., Khan, R., Gul, H., Gitari, H., Shao, Z., Abbas, G., Haider, I., Iqbal, Z., Ahmed, W., Rehman, R., Liang, Q. P., Zhou, X. B., & Yang, J. (2023). Maize-soybean intercropping at optimal N fertilization increases the N uptake, N yield and N use efficiency of maize crop by regulating the N assimilatory enzymes. Frontiers in Plant Science, 13, 1077948. https://doi.org/10.3389/fpls.2022.1077948
  • Nduwumuremyi, A., Mugwe, N. J., Rusanganwa, C. A., & Mupenzi, J. (2013). Mapping of limestone deposits and determination of the quality of locally available limestone in Rwanda. Journal of Soil Science and Environmental Management, 4(5), 87–92. https://doi.org/10.5897/JSSEM2013.0386
  • Njira, K. O. W., & Nabwami, J. (2015). A review of effects of nutrient elements on crop quality. African Journal of Food Agriculture Nutrition & Development, 15(1), 9777–9793. https://doi.org/10.18697/ajfand.68.13750
  • Nyawade, S. O., Gachene, C. K. K., Karanja, N. N., Gitari, H. I., Schulte-Geldermann, E., & Parker, M. (2019). Controlling soil erosion in smallholder potato farming systems using legume intercrops. Geoderma Regional, 17, e00225. https://doi.org/10.1016/j.geodrs.2019.e00225
  • Nyawade, S., Gitari, H. I., Karanja, N. N., & Gachene, C. K. K. (2020). Enhancing climate resilience of rain-fed potato through legume intercropping and silicon application. Frontier in Sustainable Food Systems, 4, 566345. https://doi.org/10.3389/fsufs.2020.566345
  • Ochieng’, I. O., Gitari, H. I., Mochoge, B., Rezaei, C., & Gweyi-Onyango, J. P. (2021). Optimizing maize yield, nitrogen efficacy, and grain protein content under different N forms and rates. Journal of Soil Science and Plant Nutrition, 21(3), 1867–1880. https://doi.org/10.1007/s42729-021-00486-0
  • Ochieng’, I. O., Ranjani, S., Seleiman, M. F., Padhan, S. R., Psiwa, R., Sow, S., Wasonga, D. O., & Gitari, H. I. (2023). Increasing rainwater use efficiency, gross return, and grain protein of rain-fed maize under nitrate and urea nitrogen forms. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 51(3), 13293. https://doi.org/10.15835/nbha51313293
  • Ojiem, J. O., Franke, A. C., Vanlauwe, B., De Ridder, N., & Giller, K. E. (2014). Benefits of legume–maize rotations: Assessing the impact of diversity on the productivity of smallholders in Western Kenya. Field Crops Research, 168, 75–85. https://doi.org/10.1016/j.fcr.2014.08.004
  • Oldeman, L. R., Hakkeling, R. T. A., & Sombroek, W. G. (1991). World map of the status of human-induced soil degradation (GLASOD) Retrieved May 23, 2023, from https://www.isric.org
  • Otieno, M. A., Gitari, H. I., Maitra, S., & Nungula, E. Z. (2023). GIS-AHP technique land suitability assessment for capsicum (capsicum annum L.) production. International Journal of Bioresource Science, 10(1), 19–30. https://doi.org/10.30954/2347-9655.01.2023.3
  • Pournader, M., Ahmadi, H., Feiznia, S., Karimi, S., & Peirovan, H. R. (2018). Spatial prediction of soil erosion susceptibility: An evaluation of the maximum entropy model. Earth Science Information, 11(3), 389–401. https://doi.org/10.1007/s12145-018-0338-6
  • Pramanik, M. K. (2016). Site suitability analysis for agricultural land use of Darjeeling district using AHP and GIS techniques. Modeling Earth Systems and Environment, 2(2), 1–22. https://doi.org/10.1007/s40808-016-0116
  • Rascio, N., Dalla, V. F., La Rocca, N., Barbato, R., Pagliano, C., Raviolo, M., Gonnelli, C., & Gabbrielli, R. (2008). Metal accumulation and damage in rice (cv. Vialone nano) seedlings exposed to cadmium. Environmental and Experimental Botany, 62(3), 267–278. https://doi.org/10.1016/j.envexpbot.2007.09.002
  • Raza, M. A., Gul, H., Wang, J., Yasin, H. S., Qin, R., Khalid, M. H. B., Naeem, M., Feng, L. Y., Iqbal, N., Gitari, H., Ahmad, S., Battaglia, M., Ansar, M., Yang, F., & Yang, W. (2021). Land productivity and water use efficiency of maize-soybean strip intercropping systems in semi-arid areas: A case study in Punjab Province, Pakistan. Journal of Cleaner Production, 308, 127282. https://doi.org/10.1016/j.jclepro.2021.127282
  • Raza, M. A., Yasin, H. S., Gul, H., Qin, R., Din, A. M. U., Khalid, M. H. B., Hussain, S., Gitari, H., Saeed, A., Wang, J., Rezaei-Chiyaneh, E., Sabagh, A. E., Manzoor, A., Fatima, A., Ahmad, S., Yang, F., Sikalicky, M., & Yang, W. (2022). Maize/Soybean strip intercropping produces higher crop yields and saves water under semi-arid conditions. Frontiers in Plant Science, 13, 1006720. https://doi.org/10.3389/fpls.2022.1006720
  • Reith, J., Ghazaryan, G., Muthoni, F., & Dubovyk, O. (2021). Assessment of land degradation in semiarid Tanzania—using multiscale remote sensing datasets to support sustainable development goal 15.3. Remote Sensing, 13, 1754. https://doi.org/10.3390/rs13091754
  • Risse, L. M., Cabrera, M. L., Franzluebbers, A. J., Gaskin, J. W., Gilley, J. E., Killorn, R., & Zhang, H. (2006). Land application of manure for beneficial reuse.
  • Ritung, S., Wahyunto, A. F., & Hidayat, H. (2007). Land suitability evaluation with a case map of Aceh Barat district. Indonesian Soil Research Institute and World Agroforestry Centre.
  • Romeijn, H., Faggian, R., Diogo, V., & Sposito, V. (2016). Evaluation of deterministic and complex analytical hierarchy process methods for agricultural land suitability analysis in a changing climate. International Journal of Geographical Information, 5(6), 99. https://doi.org/10.3390/ijgi5060099
  • Rop, K., Karuku, G. N., & Nduhiu, C. K. (2022). Evaluation of physico-chemical properties and P sorption characteristics of soil with different land use in Tigoni, Kiambu County, Central Kenya. Tropical and Subtropical Agroecosystems, 25(2). https://doi.org/10.56369/tsaes.4062
  • Ryan, P. R., Tyerman, S. D., Sasaki, T., Furuichi, T., Yamamoto, Y., Zhang, W. H., & Delhaize, E. (2011). The identification of aluminium resistance genes provides opportunities for enhancing crop production on acid soils. Journal of Experimental Botany, 62(1), 9–20. https://doi.org/10.1093/jxb/erq272
  • Saglam, M., & Dengiz, O. (2014). Distribution and evaluation of soil fertility based on a geostatistical approach in Bafra Deltaic Plain. Turkish Journal of Agricultural Research, 1(2), 186–195. https://doi.org/10.19159/tutad.27089
  • Saha, S., Sarkar, D., Mondal, P., & Goswami, S. (2021). GIS and multi-criteria decision-making assessment of sites suitability for agriculture in an anabranching site of sooin river, India. Modeling Earth System and Environment, 7(1), 571–588. https://doi.org/10.1007/s40808-020-00936-1
  • Saikia, S. P., & Jain, V. (2007). Biological nitrogen fixation with non-legumes: An achievable target or a dogma. Current Science, 92(3), 317–322.
  • Sanchez-Lozano, J. M., Teruel-Solano, J., Soto-Elvira, P. L., & García-Cascales, M. S. (2013). Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: A case study in south-eastern Spain. Renewable and Sustainable Energy Reviews, 24, 544–555. https://doi.org/10.1016/j.rser.2013.03.019
  • Sarkar, D., Saha, S., & Mondal, P. (2023). Modeling agricultural land suitability for vegetable crops farming using RS and GIS in conjunction with bivariate techniques in the Uttar Dinajpur district of Eastern India. Green Technologies and Sustainability, 1(2), 100022. https://doi.org/10.1016/j.grets.2023.100022
  • Seleiman, M. F., Aslam, M. T., Alhammad, B. A., Hassan, M. U., Maqbool, R., Chattha, M. U., Khan, I., Gitari, H. I., Uslu, O. S., Roy, R., & Battaglia, M. L. (2021). Salinity stress in wheat: Effects, mechanisms and management strategies. Phyton-International Journal of Experimental Botany, 91(4), 667–694. https://doi.org/10.32604/phyton.2022.017365
  • Senanayake, S., Pradhan, B., Huete, A., & Brennan, J. (2020). Assessing soil erosion hazards using land-use change and landslide frequency ratio method: A case study of Sabaragamuwa province, Sri Lanka. Remote Sensing, 12(9), 1483. https://doi.org/10.3390/rs12091483
  • Senjobi, B. A., Peluola, C. O., Senjobi, C. T., Lawal, I. O., Ande, O. T., & Salami, B. T. (2010). Performance of Corchorus olitorius as influenced by soil type and organic manure amendments in yewa north local government area, Ogun state. African Journal of Biotechnology, 9(33), 5309–5312.
  • Sessitsch, A., Howieson, J. G., Perret, X., Antoun, H., & Martinez-Romero, E. (2002). Advances in rhizobium research. Critical Reviews in Plant Science, 21(4), 323–378. https://doi.org/10.1080/0735-260291044278
  • Shao, Z., Mwakidoshi, E. R., Muindi, E. M., Soratto, R. P., Ranjan, S., Padhan, S. R., Wamukota, A. W., Sow, S., Wasonga, D. O., Nasar, J., Seleiman, M. F., & Gitari, H. I. (2023). Synthetic fertilizer application coupled with bioslurry optimizes potato (Solanum tuberosum) growth and yield. Agronomy, 13(8), 2162. https://doi.org/10.3390/agronomy13082162
  • Shearer, K. S., & Xiang, W. N. (2009). Representing multiple voices in landscape planning: A land suitability assessment study for a park land-banking program in Concord, North Carolina, USA. Landsc. Urban Planning, 93(2), 111–122. https://doi.org/10.1016/j.landurbplan.2009.06.010
  • Sims, J. T. (1999). Phosphorus soil testing: Innovations of water quality protection. Soil Science and Plant Analysis, 29(11–14), 1471–1489. https://doi.org/10.1080/00103629809370044
  • Sims, J. T., Simard, R. R., & Joern, B. C. (1998). Phosphorus loss in agricultural drainage: Historical perspective and current research. Journal of Environmental Quality, 27(2), 277–293. https://doi.org/10.2134/jeq1998.00472425002700020006x
  • Soratto, R. P., Perdoná, M. J., Parecido, R. J., Pinotti, R. N., & Gitari, H. I. (2022). Turning biennial into biannual harvest: Long-term assessment of arabica coffee–macadamia intercropping and irrigation synergism by biological and economic indices. Food and Energy Security, 11(2), 365. https://doi.org/10.1002/fes3.365
  • STASTICA. (2022). Production volume of sunflower seed oil worldwide. Retrieved March 15, 2023. from https://www.statista.com/statistics/613490/sunflowerseed-oil-production-volume-worldwide
  • Stickler, C., Coe, M., Nepstad, D., Fiske, G., & Lefebvre, P. (2007). Readiness for REDD: A preliminary global assessment of tropical forested land suitability for agriculture. United Nations Framework Convention on Climate Change (UNFCCC) Conference of the Parties (COP), Thirteenth session, Bali, Indonesia. December 3-14, 2007.
  • Sunil, S., & Prolay, M. (2022). Estimation of the effectiveness of multi-criteria decision analysis and machine learning approaches for agricultural land capability in Gangarampur Subdivision, Eastern India. Artificial Intelligence in Geosciences, 3, 179–191. https://doi.org/10.1016/j.aiig.2022.12.003
  • Ugulumu, E. S., & Inanga, E. L. (2014). Information accessibility for sunflower Growers in Tanzania. Journal of Information & Knowledge Management, 4(3), 35–44.
  • Vanlauwe, B., Bationo, A., Chianu, J., Giller, K., Merckx, R., Mokwunye, U., Ohiokpehai, O., Pypers, P., Tabo, R., Shepherd, K. D., Smaling, E. M. A., Woomer, P. L., & Sanginga, N. (2010). Integrated soil fertility management: Operational definition and consequences for implementation and dissemination. Outlook on Agriculture, 39(1), 17–24. https://doi.org/10.5367/000000010791169998
  • Verheye, W., Koohafkan, P., & Nachtergaele, F. (2020). Land use, land cover and soil Sciences - vol. II - The FAO guidelines for land evaluation. http://www.eolss.net/Eolss-sampleAllChapter.aspx.
  • Wyland, J. (2009). GIS for Agriculture-agribusiness grows with crop specific maps; GIS for Agriculture; GIS best practices. Retrieved July 30, 2022, from www.esri.com/
  • Zaredar, N., & Jafari, S. (2010). Land suitability analysis using a multi-attribute decision-making approach. International Journal of Environmental Sustainable Development, 1(5), 2010–2064.
  • Zhang, F., Shen, J., Li, L., & Liu, X. (2004). An overview of rhizosphere processes related to plant nutrition in major cropping systems in China. Plant & Soil, 260(1/2), 89–99. https://doi.org/10.1023/B:PLSO.0000030192.15621.20
  • Zhihua, Z. D. (2017). The sunflower sector in Tanzania. Great potential for industrial competitiveness (English). World Bank Group.
  • Zingore, S., Mutegi, J., Agesa, B., Tamene, L., & Kihara, J. (2015). Soil degradation in sub-Saharan Africa and crop production options for soil rehabilitation. Better Crops with Plant Food, 99(1), 24–26.
  • Zohry, A. E. H., & Ouda, S. (2022). Soil-smart practices: Integrated soil fertility management. Climate-Smart Agriculture, Springer, 27–43. https://doi.org/10.1007/978-3-030-93111-7-2

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.