Heritabilities, gains from selection and genetic correlations for grain yield of barley grown in two contrasting environments

Bouzerzour, H.; Dekhili, M.

doi:10.1016/0378-4290(95)00005-b

Cited by 17 publications

(8 citation statements)

References 12 publications

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“…Moreover, because yield trials are time consuming and expensive, the choice and number of selected test locations are important. It is critical that the METs discriminate among genotypes, are representative of the environments encountered in the targeted marketing region, and that the chosen locations provide minimum redundancy of performance information (Bouzerzour & Dekhili, 1995;Dia et al, 2016;Luo et al, 2015). High redundancy indicates that one or more of the locations may not be needed in the testing program.…”

Section: Crop Sciencementioning

confidence: 99%

Comparing yield trial locations based on their elicited expressions of genetic variance among soybean cultivars

et al. 2020

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Main considerations for yield trial site selection are the ability to discriminate among genotypes, minimize redundancy, and generate a genotype × environment interaction representative of the targeted market region. The objective was to utilize soybean (Glycine max L.) variety trial results of five relative maturity group (MG) tests at five Tennessee locations spanning 14 yr to compare test location uniqueness and/or redundancy via genetic variance estimates (estimated as twice the genetic variance among homozygous lines) and cluster analysis. Principle components analyses allowed for location comparisons of genetic variance expression among cultivars in different MG tests. Individual location, test, and year genetic variance estimates ranged from < 1-285 (Mg ha −1 ) 2 . Years and locations affected the magnitude of genetic variance, with years largely driving genetic expression within MGs in these environments. Location-induced effects were likely owing to different MGs experiencing soil moisture and temperature (day and nighttime) at varying maturity stages. Within a given location, the magnitudes of genetic variance estimates were similar among the five MGs, illustrating that glyphosate-tolerant and nontolerant cultivars had similar genetic variability. There were three sets of three locations that consistently provided nonredundant genetic expression, with two locations being duplicative. These results indicate that four of the five locations are needed, and one location could be eliminated without compromising cultivar yield trial information for five MG tests. Such analyses are worthwhile for comparing yield trial locations for their discriminating ability and representativeness that are essential for a robust variety test program within a targeted region.

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Section: Crop Sciencementioning

confidence: 99%

Comparing yield trial locations based on their elicited expressions of genetic variance among soybean cultivars

et al. 2020

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“…En effet les nouvelles variétés adoptées sont sélectionnées sur la base de leur potentiel de rendement sans tenir compte des caractères adaptatifs qui sont des régulateurs de la production en milieux variables [4]. De plus, dans ces milieux, La variation des performances génotypiques, engendrée par l'interaction génotype x milieux, rend difficile la sélection et la recommandation des génotypes performants [5,6]. Les alternatives qui s'offrent, pour contrer ces contraintes, sont peu nombreuses et difficiles à mettre en oeuvre.…”

Section: Introductionunclassified

Analysis of the phenotypic variability of some varieties of durum wheat (<i>Triticum durum</i> Desf) to improve the efficiency of performance under the constraining conditions of semiarid environments

Haddad¹,

Bouzerzour²,

Benmahammed³

et al. 2018

J. Fundam and Appl Sci.

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The experiment was conducted during three growing seasons and two planting dates. The cultivation site is placed at the ITGC Setif characterized by a semi-arid environment. The objective of the study is the analysis of phenotypic variability of traits measured for 15 varieties of durum wheat, through the average effects, to decline the ways, characters and varieties could play in favour of performance under the constraining semi-arid conditions. The year effect indicates that given the difficulty of predicting the performance enabled by years, it then makes sense to go straight for this performance within genotypes. Analysis of the effect genotype highlights characters connected to performance and is the Setifis variety that lends itself well. For the effect of sowing date, it is that early sowing promotes a better expression of the characteristics compared to late sowing.

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“…Consequently, all locations provided useful and low‐redundancy information for V g expression for the target region. This type of analysis could be useful for other corn variety test programs or breeding programs interested in evaluating discriminating ability and duplicative or correlated expression of genetic information among yield test sites for robust variety trials within and across maturity groupings (Bouzerzour & Dekhili, 1995; Dia et al., 2016; Luo et al., 2015).…”

Section: Resultsmentioning

confidence: 99%

Comparison of discriminatory effects of corn yield test locations based on their genetic variation expression among hybrids

et al. 2020

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It is important for yield test sites to elicit differences among genotypes, minimize redundancy of performance information, and generate a genotype × environment interaction representative of the targeted region. The objective of this study was to use corn (Zea mays L.) variety trial data from three relative maturity group (MG) tests (early, medium, and late) at five Tennessee locations spanning 14 yr to compare test location uniqueness and redundancy via genetic variance estimates and cluster analysis. Principle component analyses allowed for location comparisons of genetic variance expression among cultivars in different MG tests. Individual location–test–year genetic variance estimates ranged from <1 to 584 (Mg ha−1)2. Years and locations affected the magnitude of genetic variance, with years largely driving genetic expression within MGs in these environments. However, the late MG consistently had the greatest variance estimates. Across 14 yr, there was minimum duplicative information provided across the five yield test sites. Consequently, all locations were needed and none could be eliminated without compromising cultivar yield trial information for the three MG tests. Correlations between mean yields and genetic variance showed a weak relationship across locations (environments), years, and MG tests (r = .021); thus, high‐yielding environments did not correspond with increased genetic variance expression. These types of analyses are useful for evaluating the discriminating ability and duplicative or correlated expression of genetic information across locations for robust variety trials within and across maturity groups and targeted regions.

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Heritabilities, gains from selection and genetic correlations for grain yield of barley grown in two contrasting environments

Cited by 17 publications

References 12 publications

Comparing yield trial locations based on their elicited expressions of genetic variance among soybean cultivars

Comparing yield trial locations based on their elicited expressions of genetic variance among soybean cultivars

Analysis of the phenotypic variability of some varieties of durum wheat (<i>Triticum durum</i> Desf) to improve the efficiency of performance under the constraining conditions of semiarid environments

Comparison of discriminatory effects of corn yield test locations based on their genetic variation expression among hybrids

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