Parent dependent genotype × environment interaction in crosses of spring wheat

Bains, Kiran

doi:10.1038/hdy.1976.20

Cited by 12 publications

(3 citation statements)

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“…Not surprisingly it fluctuates from trial to trial, while the reliability of a smgle year's results is especially low for trials with a high varieties x years interaction. Trials were conducted in 1979, with 9, 10 and 12 locations for maize, spring barley and winter wheat respectively But experimental evidence from yield trials in spring wheat (Bains, 1976) provides evidence to the contrary. Finally, we may ask how heritable are these various measures of stability?…”

Section: Dynamic Conceptmentioning

confidence: 99%

Quantitative and Ecological Aspects of Plant Breeding

Hill¹,

1998

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The present book is the fourth in the Plant Breeding Series published by Chapman & Hall, and extends the aspects covered in the three earlier volumes, particularly with its focus on ecological aspects related to breeding. The first book, Plant Breeding: Principles and prospects, edited by Hayward, Bosemark and Romagosa, set a wide ranging, authoritative and broad view of techniques and approaches being adopted in modem plant breeding. The second, Selection Methods in Plant Breeding, by Bos and Caligari, was written to help further secure the scientific basis underlying selection methods as applied in practical plant breeding. The third, Statistical Methods for Plant Variety Evaluation, edited by Kempton and Fox, ensured a strong foundation in the design of trials and the subsequent handling of data, upon which successful breeding is based. It followed the successful formula of the first book in being based on a course taught in Zaragoza.This fourth book starts by giving the underlying philosophy and modelling needed to tackle the ubiquitous genetical variation with which all breeders are confronted, namely quantitative variation. The nomenclature used is new and follows that agreed by a group of us, to be mainly based on that used more commonly by animal breeders than by plant breeders. It was agreed in discussion that this nomenclature has a more direct logic (e.g. additive variation is designated as a, dominance is d, and so on). This led to Kearsey and Pooni's book being the first published using this notation (The Genetical Analysis of Quantitative Variation, by M.J. Kearsey and H.S. Pooni, Chapman & Hall, 1996, ISBN 0412609800) which needed extension from that in common use because of the sophisticated extensions to the theory and analysis already devised by those working with such variation in plants. This approach is continued here and used to give this present book its useful place in providing a valuable interface between the theory and practice of plant breeding (although translation between this and the earlier notation is not too difficult).As noted in all the earlier books, the need for plant breeders to be successful has never been greater. The potential future population growth must fill all of us with concern and is a clear indication of the absolute need for success in plant breeding. This point is picked up again by the present authors in various places within the text and the authors further emphasize this by their appreciation of those concerns in the concluding chapter on 'Genetic resources, genetic diversity and ecogeographic breeding'. The use of a range of traditional and modem techniques must ultimately be united in the genotypes we grow, to ensure their adaptation to their place in the environment in which they are required to grow and in which we share their existence.The present book is aimed, as the other three were, not only at the student who is learning the subject of plant breeding but also at the breeder who is trying to improve our crop species. It has been written to make clear...

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Section: Dynamic Conceptmentioning

confidence: 99%

Quantitative and Ecological Aspects of Plant Breeding

Hill¹,

1998

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“…The inheritance of some of these stability parameters has been determined for smooth brome grass (Lin and Binns 1991) and for two sorghum populations (Zavala-Garcia et al 1992), but to the best of our knowledge, no reports exist for bread wheat except for an investigation regarding parent-dependent genotype× enviroment interaction (Bains 1976). This report indi- International Crops Research Institute for the Semi-Arid Tropics, Patancheru, 502 324 AP, India cates that linear and non-linear sensivity to the environment in spring wheat appears to be under genetic control and amenable to selection.…”

Section: Introductionmentioning

confidence: 99%

Heritability of and correlations among genotype-by-environment stability statistics for grain yield in bread wheat

et al. 2001

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Several genotype-by-environment stability measures are in use, but little information exists about their inheritance or genetic interrelationships. Among those measures in common use are the linear regression coefficient (b), deviations from regression (s b), coefficient of determination (R 2), coefficient of phenotypic variation (CPV) and, more recently, interaction principal components (IPCA) of the additive-main-effect-andmultiplicative-interaction (AMMI) model. Because of the factorial structure of the data, the diallel cross is well suited to study these parameters and their relationship to quantitative traits. For this study a complete diallel cross, derived by mating eight lines from a broad based bread wheat breeding population, was grown for several growing seasons at two Ugandan locations, one of which was prone to yellow rust. Stability parameters and grain yield were measured for each cross. CPV had the highest narrow-sense heritability (h 2 =0.522) followed by IPCA1 of the AMMI (h 2 =0.461). Lowest narrow-sense heritabilities were calculated for b and R 2 (h 2 =0.150 and 0.100 respectively). There were high additive genetic correlations (r A) between grain yield and CPV (r A =−0.933), grain yield and IPCA1 (r A =0.707), and grain yield and IPCA2 (r A =0.751). The genetic association between CPV and IPCA1 was also high and negative (r A = −0.934). These results suggest that it may be possible to select simultaneously for high and stable grain yield in this broad-based bread wheat breeding pool by selecting outyielders that exhibit a low CPV.

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“…However, it may often be easier to cure the genotype rather than the environment (Epstein, 1963;Allard and Bradshaw, 1964). Therefore, Bucio-Alanis et al (1969) and Bains (1976) reported that the mean performance and the ability to perform con-sistently over variable environments can be genetically manipulated. Our studies show high magnitude of heritability for seed cotton yield.…”

Section: Discussionmentioning

confidence: 99%

CRSM-38, a new high yielding coupled with CLCuV tolerance cotton (Gossypium hirsutum L.) variety

Ahmad¹

2012

Afr. J. Biotechnol.

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CRSM-38 is a high yielding and leaf curl virus tolerant cotton variety, developed in Pakistan. Hybridization and subsequent pedigree method's selection work was carried out under natural field conditions at Cotton Research Station, Multan during the year 2001 and 2002 by using a virus tolerant strain (583-85/99) and a variety (FH-900). The new variety exhibited an average of 77.9% higher degree of tolerance against cotton leaf curl virus (CLCuV) over respective checks, and attained an average of 46.52 % higher seed cotton yield than that of CIM-496 under various climatic conditions revealing its wider adaptability. It possesses harmonious combination of fiber traits, that is, 39.94% ginning out turn (GOT), 29.07 mm fiber staple length, 4.38 µg/inch fiber micronaire and 31.38 g/tex fiber strength. Significant differences among genotypes showed higher degree of genetic variability, heritability (78 to 90%) and genetic advance (38 to 63.90%) in seed cotton yield suggesting that these genetic components were under the control of additive genetic effects, whereas tolerance to CLCuV could be improved through selection for high seed cotton yield. On the basis of the aforementioned features, CRSM-38 was recommended for general cultivation by Punjab Seed Council during the year 2009.

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Parent dependent genotype × environment interaction in crosses of spring wheat

Cited by 12 publications

References 12 publications

Quantitative and Ecological Aspects of Plant Breeding

Quantitative and Ecological Aspects of Plant Breeding

Heritability of and correlations among genotype-by-environment stability statistics for grain yield in bread wheat

CRSM-38, a new high yielding coupled with CLCuV tolerance cotton (Gossypium hirsutum L.) variety

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