Genotype–environment interaction in Gliricidia sepium: Phenotypic stability of provenances for leaf biomass yield

2012 ◽  
Vol 157 ◽  
pp. 87-93 ◽  
Author(s):  
B.I. Nyoka ◽  
A.J. Simons ◽  
F.K. Akinnifesi
2003 ◽  
Vol 26 (4) ◽  
pp. 441-448 ◽  
Author(s):  
Paulo de Souza Gonçalves ◽  
Nelson Bortoletto ◽  
Antonio Lúcio Mello Martins ◽  
Reginaldo Brito da Costa ◽  
Paulo Boller Gallo

2011 ◽  
Vol 83 (4) ◽  
pp. 1421-1434 ◽  
Author(s):  
Glauber H.S. Nunes ◽  
Haroldo Santos Júnior ◽  
Leilson C. Grangeiro ◽  
Francisco Bezerra Neto ◽  
Carlos T.S. Dias ◽  
...  

The objectives of this study were to determine the importance of simple and complex components of the interaction genotype × environment and to evaluate the adaptability and stability of Gália melon hybrids. Nine hybrids were tested in twelve environments of Rio Grande Norte State from 2000 to 2001. The experiments were carried out in a randomized complete block design with three replications. The statistical methods of Toler and Burrows, Wricke and AMMI (Additive Main effect and Multiplicative Interaction) were used to study the adaptability and stability. The complex component is responsible for most of the genotype × environment interaction for the yield and content of solids soluble of fruits. The environments associated with Mossoró and Assu municipalities are the most suitable to evaluate melon hybrids in the state. The hybrid DRG 1537 was the most likely to be grown in the Agro-industrial Complex Mossoró-Assu due to its stability, high productivity and high content of soluble solids.


2019 ◽  
Vol 32 (2) ◽  
pp. 552-558
Author(s):  
OTACIANA MARIA DOS PRAZERES DA SILVA ◽  
WELDER DE ARAÚJO RANGEL LOPES ◽  
GLAUBER HENRIQUE DE SOUSA NUNES ◽  
MARIA ZULEIDE DE NEGREIROS ◽  
JOSÉ ESPÍNOLA SOBRINHO

ABSTRACT Studies on lettuce genotypes growing in different environments and planting seasons are important for this crop because its productive potential is greatly affected by environmental conditions. The mixed model methodology (REML/BLUP) have been used to evaluate the effects of the genotype-environment interaction on crops. Thus, the objective of the present work was to estimate parameters of adaptability and the phenotypic stability in lettuce cultivars grown in a semiarid region of Brazil, using a mixed model. Twelve lettuce cultivars from the Americana (Angelina, Amélia, and Tainá), Crespa (Scarlet, Vera, Isabela, and Vanda), Mimosa (Mila, Mimosa, and Lavínia), and Lisa (Elisa and Regiane) groups were evaluated. The experiments were conducted in a randomized complete block design, with four replications. The genetic parameters were estimated by the REML/BLUP method; and the simultaneous selection of productivity, stability, and adaptability of the genotypes was based on harmonic means of relative performances of predicted genotypic values (HMRPPGV). The Amélia, Angelina, and Tainá cultivars stood out for yield. The Regiane and Elisa cultivars presented significant responses in yield and number of leaves and are the most suitable for growing in the environmental conditions of Mossoró, RN, Brazil. The Crespa and Mimosa groups presented no stability and adaptability to the environmental conditions in which the experiments were conducted. More genotypes of all lettuce groups should be evaluated, and breeding programs should be developed to obtain genotypes with higher productivity, quality, and resistance to heat for semiarid regions.


2016 ◽  
Vol 8 (4) ◽  
pp. 2040-2048
Author(s):  
Devender Sharma ◽  
Satish Paul

Stability performance of 30 linseed genotypes including commercial cultivars and elite lines (indigenous and exotic) was compared by using regression on environmental means for grain yield and its components under 5 different environments during rabi 2013-2014. Significant differences were observed among the genotypes for all the traits studied over all 5 individual environments. Genotype × environment interactions were highly significant for all the characters studied. E + (G × E) was significant for all the characters except the number of seeds per capsule. Mean sum of squares for environment (linear) showed significance for all the characters. Significant differences for G × E (linear) were observed for 5 traits viz., primary branches per plant, secondary branches per plant, aerial biomass yield per plant, seed yield per plant and 1000-seed weight. Based on mean performance, regression coefficient (bi) and deviation from regression (S2di) the genotype Him Alsi-2, KL-241 and Nagarkot was highly stable for seed yield (g) and number of capsules per plant was found most adaptive to overall environments. These promising genotypes may be utilized as donors in linseed improvement program for target ecosystems.


1970 ◽  
Vol 35 (3) ◽  
pp. 489-496
Author(s):  
Kamrun Nahar ◽  
S Ahmed ◽  
MAL Akanda ◽  
MAA Mondal ◽  
MA Islam

Genotype-location interaction and phenotypic stability of cob yield and maturity parameters of eight baby corn genotypes including hybrids and composite varieties were assessed during rabi 2006-2007. Significant genotype-environment interactions were observed for all the characters under study. Pooled deviations were also found significant for all the characters except days to harvesting. The genotype Khoibhutta was found stable for days to tasselling, days to harvesting and yield of by product and suited to unfavourable environment. On the other hand, the BBC1 was stable across environments for days to harvesting and cob yield. Genotype NS pop corn was stable for days to tasselling and suited to unfavourable environment and stable for yield of by-product and cob yield across the environments. The genotype BHM5 showed stable performance only for cob yield across the environments. Keywords: Stability; genotype; environment; G × E; yield components; baby corn. DOI: 10.3329/bjar.v35i3.6455Bangladesh J. Agril. Res. 35(3) : 489-496


1973 ◽  
Vol 36 (3) ◽  
pp. 471-475 ◽  
Author(s):  
T. R. Batra ◽  
W. R. Usborne ◽  
D. G. Grieve ◽  
E. B. Burnside

2020 ◽  
Vol 15 (1) ◽  
pp. 56-64
Author(s):  
Irina Manukyan ◽  
◽  
Madina Basieva ◽  
Elena Miroshnikova ◽  
◽  
...  

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