Impact of genotype multiply environment interaction on response to selection in sugarcane

1992 ◽  
Vol 32 (6) ◽  
pp. 731 ◽  
Author(s):  
JK Bull ◽  
DM Hogarth ◽  
KE Basford

The impact of genotype x environment interaction on the response to 3 methods of selection in sugarcane was assessed over 3 locations and 3 cropyears. The 3 selection methods considered were 2 previously used procedures, mass (individual) selection using a visual appraisal of clonal performance and family selection using selection rate, and a new procedure, family selection using a net merit grade (NMG) derived from weighing family plots. Within the 2 forms of family selection, light mass selection based on a visual appraisal of clonal performance was used to reject the poorest clones. The gains from selection, cdculated as the deviation in performance of the select groups from the performance of a group of randomly chosen clones, were assessed for each of these 3 methods. All 3 selection methods gave similar gains over the random group when averaged over all locations and crop-years. Family selection based on NMG is recommended for routine use as it is the least labour-intensive and most cost-effective. Genotype x environment interaction, on both a family and clonal basis, was large enough to affect the gains made from selection. These effects provided some support for location-specific selection. Furthermore, selections based on the results from the central experiment station produced relatively poor gains when assessed over all locations and crop-years. This indicates that the experiment station may be a poor location for centralised selection. The use of at least 1 other location may provide a buffer against infrequent environmental factors rendering worthless family or clonal discrimination at any particular location.

2015 ◽  
Vol 21 ◽  
pp. 41-48
Author(s):  
Gebremedhin Welu

The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, Alage and Mugulat. The ANOVA over locations showed a highly significant (p≤0.01) variation for the genotype effect, environment effects, genotype X environment interaction (GEI) effect and significant (p≤0.05) variation for GEI effect of yield and for most of the yield related traits of food barley genotypes. Haftysene, Yidogit, Estayish and Basso were the genotypes with relatively high mean grain yield across all locations and they are highly performing genotypes to the area. Among locations, the highest mean grain yield was recorded at Korem and it was a suited environment to all the genotypes whereas Mugulat is unfavoured one. ECOPRINT 21: 41-48, 2014DOI: http://dx.doi.org/10.3126/eco.v21i0.11903


2011 ◽  
Vol 39 (1) ◽  
pp. 220 ◽  
Author(s):  
Adesola L. NASSIR ◽  
Omolayo J. ARIYO

Twelve rice varieties were cultivated in inland hydromorphic lowland over a four year-season period in tropical rainforest ecology to study the genotype x environment (GxE) interaction and yield stability and to determine the agronomic and environmental factors responsible for the interaction. Data on yield and agronomic characters and environmental variables were analyzed using the Additive Main Effect and Multiplicative Interaction (AMMI), Genotype and Genotype x Environment Interaction, GGE and the yield stability using the modified rank-sum statistic (YSi). AMMI analysis revealed environmental differences as accounting for 47.6% of the total variation. The genotype and GxE interaction accounted for 28.5% and 24% respectively. The first and second interaction axes captured 57% and 30% of the total variation due to GXE interaction. The analysis identified ‘TOX 3107’ as having a combination of stable and average yield. The GGE captured 85.8%of the total GxE. ‘TOX 3226-53-2-2-2’ and ‘ITA 230’ were high yielding but adjudged unstable by AMMI. These two varieties along with ‘WITA 1’ and ‘TOX 3180-32-2-1-3-5’ were identified with good inland swamp environment, which is essentially moisture based. The two varieties (‘TOX 3226-53-2-2-2’ and ‘ITA 230’), which were equally considered unstable in yield by the stability variance, ?2i, were selected by YSi in addition to ‘TOX 3107’, ‘WITA 1’, ‘IR 8’ and ‘M 55’. The statistic may positively complement AMMI and GGE in selecting varieties suited to specific locations with peculiar fluctuations in environmental indices. Correlation of PC scores with environmental and agronomic variables identified total rainfall up to the reproductive stage, variation in tillering ability and plant height as the most important factors underlying the GxE interaction. Additional information from the models can be positively utilized in varietal development for different ecologies.


2020 ◽  
Vol 20 (sup3) ◽  
pp. S1829-S1844
Author(s):  
William Viera ◽  
Beatriz Brito ◽  
Eddie Zambrano ◽  
Lenin Ron ◽  
Jorge Merino ◽  
...  

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