Indirect Versus Direct Selection of Adaptable Genotypes of Coffea canephora for Drought Stress and Non-Stress Conditions

REFERENCES

• Adu , S.V. and Asiamah , R.D. 1992 . Soils of the Ayensu-Densu basin. Memoir No. 9 , Kumasi , , Ghana : Soil Research Institute-Council for Scientific and Industrial Research .
   Google Scholar
• Ahn , P.A. 1961 . Soils of the lower Tano basin, Southwestern Ghana. Memoir No. 2. Soil and land-use survey branch , Kumasi , , Ghana : Ghana Ministry of Food and Agriculture .
   Google Scholar
• Anim-Kwapong , E. and Adomako , B. 2010 . Genetic and environmental correlations between bean yield and agronomic traits in Coffea canephora . J. Plant Breed. Crop Sci , 2 ( 4 ) : 64 – 72 .
   Google Scholar
• Anim-Kwapong , E. , Anim-Kwapong , G.J. and Adomako , B. Forthcoming . Variation and association of agronomic traits genetically related to drought tolerance in Coffea canephora . J. Plant Breed. Crop Sci ,
   Google Scholar
• Atlin , G.N. and Frey , K.J. 1989 . Breeding crop varieties for low-imput agriculture . Am. J. Alt. Agric , 4 ( 2 ) : 53 – 58 .
   Google Scholar
• Bänziger , M. , Betrán , F.J. and Lafitte , H.R. 1997 . Efficiency of high-nitrogen selection environment for improving maize for low-nitrogen target environments . Crop Sci , 37 : 1,103 – 1,109 .
   Web of Science ®Google Scholar
• Bidinger , F.R. , Hammer , G.L. and Muchow , R.C. 1996 . “ The physiological basis of genotype by environment interaction in crop adaptation ” . In Plant adaptation and crop improvement , Edited by: Cooper , M. and Hammer , G.L. 329 – 347 . Wallingford , , UK : CAB International .
   Google Scholar
• Brancourt-Hulmel , M. , Heumez , E. , Pluchard , P. , Beghin , D. , Depatureaux , C. , Giraud , A. and Le Gouis , J. 2005 . Indirect versus direct selection of winter wheat for low-input or high-input levels . Crop Sci , 45 : 1,427 – 1,431 .
   Web of Science ®Google Scholar
• Cilas , C. , Bouharmont , P. and Bar-Hen , A. 2003 . Yield stability in Coffea canephora from diallel mating designs monitored for 14 years . Heredity , 91 : 528 – 532 .
   PubMed Web of Science ®Google Scholar
• Cooper , M. and Byth , D.E. 1996 . “ Understanding plant adaptation to achieve systematic applied crop improvement: A fundamental challenge ” . In Plant adaptation and crop improvement , Edited by: Cooper , M. and Hammer , G.L. 5 – 23 . Wallingford , , UK : CAB International .
   Google Scholar
• Cooper , M. and DeLacy , L.H. 1994 . Relationships among analytical methods used to study genotypic variation and genotype-by-environment interaction in plant breeding multi-environment experiments . Theor. Appl. Genet , 88 : 561 – 572 .
   PubMed Web of Science ®Google Scholar
• Cooper , M. , Woodruff , D.R. , Eisemann , R.L. , Brennan , P.S. and DeLacy , I.H. 1995 . A selection strategy to accommodate genotype-by-environment interaction for grain yield of wheat: managed-environments for selection among genotypes . Theor. Appl. Genet , 90 : 492 – 502 .
   PubMed Web of Science ®Google Scholar
• DaMatta , F.M. and Ramalho , J.D.C. 2006 . Impact of drought and temperature stress on coffee physiology and production: a review . Braz. J. Plant Physiol , 18 ( 1 ) : 55 – 81 .
   Google Scholar
• Denčić , S. , Kastori , R. , Kobiljski , B. and Duggan , B. 2000 . Evaluation of grain yield and its components in wheat cultivars and landraces under near optimal and drought conditions . Euphytica , 113 : 43 – 52 .
   Web of Science ®Google Scholar
• Ehlers , J.D. 1994 . Correlation of performance of sole crop and inter crop cowpeas with and without protection from insect pests . Field Crops Res , 36 : 133 – 143 .
   Web of Science ®Google Scholar
• Falconer , D.S. and Mackay , T.F.C. 1996 . Introduction to quantitative genetics , 4th , London : Longman Inc .
   Google Scholar
• Finlay , K.W. and Wilkinson , G.N. 1963 . The analysis of adaptation in plant breeding programmes . Austr. J. Agric. Res , 14 : 742 – 754 .
   Google Scholar
• Fischer , R.A. and Maurer , R. 1978 . Drought resistance in spring wheat cultivars: I. Grain yield responses . Austr. J. Agric. Res , 29 : 897 – 912 .
   Google Scholar
• Lin , C.S. and Binns , M.R. 1988 . A superiority measure of cultivar performance for cultivar × location data . Can. J. Plant Sci , 68 : 193 – 198 .
   Web of Science ®Google Scholar
• Mullet , J.E. and Whitsitt , M.S. 1997 . “ Plant cellular responses to water deficit ” . In Drought tolerance in higher plants: Genetical, physiological and molecular biological analysis , Edited by: Belhassen , E. 41 – 46 . Dordrecht , , The Netherlands : Kluwer Academic Publishers .
   Google Scholar
• Pinheiro , H.A. , DaMatta , F.M. , Chaves , A.R.M. , Loureiro , M.E. and Ducatti , C. 2005 . Drought tolerance is associated with rooting depth and stomatal control of water use in clones of Coffea canephora . Ann. Bot , 96 ( 1 ) : 101 – 108 .
   PubMed Web of Science ®Google Scholar
• Rajaram , S. , Braun , H.J. and Van Ginkel , M. 1996 . CIMMYT's approach to breed for drought tolerance . Euphytica , 92 : 147 – 153 .
   Web of Science ®Google Scholar
• Sinebo , W. , Gretzmacher , R. and Edelbauer , A. 2002 . Environment of selection for grain yield in low fertiliser input in barley . Field Crops Res , 74 : 151 – 162 .
   Web of Science ®Google Scholar
• Steel , R.G.D. , Torrie , J.H. and Dickey , D.A. 1997 . Principles and procedures of statistics: A biometrical approach , 3rd , New York : McGraw-Hill .
   Google Scholar
• Yates , F. and Cochran , W.C. 1938 . The analysis of group experiments . J. Agric. Sci , 28 : 556 – 580 .
   Google Scholar