Phenotyping open-pollinated maize varieties for environments with low nitrogen availability

References

• Akhtar K, Afridi MZ, Akbar M, Zaheer S, Faisal S. 2015. Planting densities and nitrogen level impact on yield and yield component of maize. Pure Appl Biol. 4(2):217.
   Google Scholar
• Al-Naggar AMM, Shabana R, Atta MMM, Al-Khalil TH. 2015. Regression of grain yield of maize inbred lines and their diallel crosses on elevated levels of soil-nitrogen. Int J Plant Soil Sci. 4(6):499–512.
   Google Scholar
• Avdikos ID, Tsivelika N, Gallidou A, Koutsika-Sotiriou M, Traka-Mavrona E. 2011. Exploitation of heterosis through recurrent selection scheme applied in segregating generations of a tomato breeding program. Sci Hortic. 130(4):701–707.
   Web of Science ®Google Scholar
• Badu-Apraku B, Fakorede MA, Oyekunle M, Akinwale RO. 2012. Selection of extra-early maize inbreds under low N and drought at flowering and grain-filling for hybrid production. Maydica. 56(2):29–41.
   Web of Science ®Google Scholar
• Bänziger M, Lafitte HR. 1997. Efficiency of secondary traits for improving maize for low-nitrogen target environments. Crop Sci. 37:1110–1117.
   Web of Science ®Google Scholar
• Cargnelutti Filho A, Storck L. 2007. Estatísticas de avaliação da precisão experimental em ensaios de cultivares de milho. [Evaluation statistics of the experimental precision in corn cultivar trials]. Pesq Agropec Bras. 42:17–24.
   Google Scholar
• Carpici EB, Celik N, Bayram G. 2010. Yield and quality of forage maize as influenced by plant density and nitrogen rate. Turk J Field Crops. 15(2):128–132.
   Web of Science ®Google Scholar
• Coimbra RR, Miranda GV, Cruz CD, De Melo AV, Eckert FR. 2010. Caracterização e divergência genética de populações de milho resgatadas do Sudeste de Minas Gerais. [Characterization and genetic divergence of corn populations rescued from the region southeastern of Minas Gerais]. Rev Ciênc Agron. 41:159–166.
   Google Scholar
• Core Team R. 2017. R: A language and environment for statistical computing. R Foundation for Statistical Computing. http://www.R-project.org
   Google Scholar
• Ferro RA, Brichette I, Evgenidis G, Karamaligkas C, Moreno-González J. 2007. Variability in European maize (Zea mays L.) landraces under high and low nitrogen inputs. Genet Resour Crop Ev. 54(2):295–308.
   Web of Science ®Google Scholar
• Han M, Okamoto M, Beatty PH, Rothstein SJ, Good AG. 2015. The genetics of nitrogen use efficiency in crop plants. Annu Rev Genet. 49:269–289.
   PubMed Web of Science ®Google Scholar
• Hu K, Li B, Chen D, Zhang Y, Edis R. 2008. Simulation of nitrate leaching under irrigated maize on sandy soil in desert oasis in Inner Mongolia, China. Agric Water Manage. 95(10):1180–1188.
   Web of Science ®Google Scholar
• Maddonni GÁ, Martínez-Bercovich J. 2014. Row spacing, landscape position, and maize grain yield. Int J Agron. 2014:1–12.
   Google Scholar
• Mansfield BD, Mumm RH. 2014. Survey of plant density tolerance in US maize germplasm. Crop Sci. 1:157–173.
   Google Scholar
• Oliveira GHF, Buzinaro R, Revolti LTM, Giorgenon CH, Charnai K, Resende D, Moro GV. 2016. An accurate prediction of maize crosses using diallel analysis and best linear unbiased predictor (BLUP). Chil J Agric Res. 76(3):294–299.
   Web of Science ®Google Scholar
• Paramesh M, Reddy DM, Priya MS, Sumathi P, Sudhakar P, Reddy KHP. 2016. GT biplot analysis for yield and drought related traits in mung bean (Vigna radiata L. Wilczek). Electron J Plant Breed. 7(3):538–543.
   Google Scholar
• Raij BV, Quaggio JA. 1983. Métodos de análise de solo para fins de fertilidade. Campinas(SP): Instituto Agronômico de Campinas.
   Google Scholar
• SAS Institute, Inc. 2009. SAS/STAT® user’s guide, version 9.2. 2nd ed. Cary (N.C): SAS Institute, Inc.
   Google Scholar
• Semagn K, Magorokosho C, Ogugo V, Makumbi D, Warburton ML. 2014. Genetic relationships and structure among open-pollinated maize varieties adapted to eastern and southern Africa using microsatellite markers. Mol Breed. 3:1423–1435.
   Google Scholar
• Serpolay-Besson E, Giuliano S, Schermann N, Chable V. 2014. Evaluation of evolution and diversity of maize open-pollinated varieties cultivated under contrasted environmental and farmers’ selection pressures: a phenotypical approach. OJGen. 4(2):125.
   Google Scholar
• Shi DY, Li YH, Zhang JW, Liu P, Zhao B, Dong ST. 2016. Effects of plant density and nitrogen rate on lodging-related stalk traits of summer maize. Plant Soil Environ. 62(7):299–306.
   Web of Science ®Google Scholar
• Széles AV, Megyes A, Nagy J. 2012. Irrigation and nitrogen effects on the leaf chlorophyll content and grain yield of maize in different crop years. Agric Water Manage. 107:133–144.
   Web of Science ®Google Scholar
• Talabi AO, Badu-Apraku B, Fakorede MAB. 2017. Genetic variances and relationship among traits of an early maturing maize population under drought-stress and low nitrogen environments. Crop Sci. 57(2):681–692.
   Web of Science ®Google Scholar
• Wasaya A, Tahir M, Ali H, Hussain M, Yasir TA, Sher A, Ijaz M. 2017. Influence of varying tillage systems and nitrogen application on crop allometry, chlorophyll contents, biomass production and net returns of maize (Zea maysL.). Soil Tillage Res. 170:18–26.
   Web of Science ®Google Scholar
• Wei S, Wang X, Shi D, Li Y, Zhang J, Liu P, Zhao B, Dong S. 2016. The mechanisms of low nitrogen induced weakened photosynthesis in summer maize (Zea mays L.) under field conditions. Plant Physiol Biochem. 105:118–128.
   PubMed Web of Science ®Google Scholar
• Yang S, Liu Y, Zhang D, Zhang Z, Zhang J, Zhu L, Huang Y, Zho Y, Guo J, Chen J. 2016. Genetic architecture of lodging resistance revealed by genome-wide association study in maize (Zea mays L). Maydica. 61(4):1–7.
   Web of Science ®Google Scholar