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You searched for: Subject "genotype-environment interaction" Remove constraint Subject: "genotype-environment interaction"
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1. Genotype by environment interactions in feed efficiency of Pacific abalone (Haliotis discus hannai) reared at different water temperatures

Author:
Wenchao Yu; Yawei Shen; Junyu Liu; Weiguang Zou; Zekun Huang; Miaoqin Huang; Ying Lu; Jinwei Ke; Xuan Luo; Weiwei You; Caihuan Ke
Source:
Aquaculture 2023 v.562 pp. 738764
ISSN:
0044-8486
Subject:
genotype-environment interaction,   etc   ; Haliotis discus hannai; abalone; aquaculture; feed conversion; feed intake; food intake; genetic correlation; genetic improvement; heritability; phenotype; phenotypic variation; temperature; weight gain;     Show all 14 Subjects
Abstract:
... Genetic improvement of feed efficiency (FE) in Pacific abalone (Haliotis discus hannai) can improve farming efficiency and reduce costs. Temperature has important effects on the feeding and growth of abalone, and genotype by environment (G × E) interactions should be considered in selecting breeding programs for genetic gain. To improve the selection strategy, FE performance, genetic parameters, a ...
DOI:
10.1016/j.aquaculture.2022.738764

2. AMMI analysis nested with BLUP for stability analysis of barley genotypes evaluated at Northern Hills Zone of the country

Author:
Ajay Verma; GP Singh
Source:
Journal of eco-friendly agriculture 2022 v.17 no.2 pp. 264-272
ISSN:
2582-2683
Subject:
genotype-environment interaction,   etc   ; agriculture; barley;     Show all 3 Subjects
Abstract:
... Highly significant effects of environments (E), GxE interaction and genotypes (G) had expressed by AMMI analysis for problem soils under coordinated barley improvement program of the country. Interaction effects GxE accounted for 52.4% & 30.5% and environment effects explained 19.4% & 50.3% during cropping seasons of 2018-19 and 2019-20 respectively. Stability measure WAASB based on all significan ...
DOI:
10.5958/2582-2683.2022.00052.1

3. Stability Indices to Deciphering the Genotype-by-Environment Interaction (GEI) Effect: An Applicable Review for Use in Plant Breeding Programs

Author:
Alireza Pour-Aboughadareh; Marouf Khalili; Peter Poczai; Tiago Olivoto
Source:
Plants 2022 v.11 no.3 pp. -
ISSN:
2223-7747
Subject:
genotype-environment interaction,   etc   ; computer software; statistics; yields;     Show all 4 Subjects
Abstract:
... Experiments measuring the interaction between genotypes and environments measure the spatial (e.g., locations) and temporal (e.g., years) separation and/or combination of these factors. The genotype-by-environment interaction (GEI) is very important in plant breeding programs. Over the past six decades, the propensity to model the GEI led to the development of several models and mathematical metho ...
DOI:
10.3390/plants11030414

4. Environmental stratification in trials of unbalanced multiyear soybean (Glycine max (l.) Merril) via the integration of GGE Biplot graphs and networks of environmental similarity

Author:
Fernanda Cupertino Rodrigues; Francisco Charles Santos Silva; Pedro Crescêncio Souza Carneiro; Luiz Alexandre Peternelli; Leonardo Lopes Bhering; Felipe Lopes da Silva
Source:
Euphytica 2022 v.218 no.6 pp. 71
ISSN:
0014-2336
Subject:
genotype-environment interaction,   etc   ; Glycine max; cultivars; soybeans; Brazil;     Show all 5 Subjects
Abstract:
... Genotype × environment (GE) interaction can difficult soybean breeding programs to achieve the aim of more productive cultivars. Environment stratification is a way to circumvent this problem. However, multiyear data studies are difficult to work with, because they are, usually, unbalanced. GGE Biplot is an efficient method to find mega-environments, however, it allows for, at most, 30% of the unb ...
DOI:
10.1007/s10681-022-02994-1

5. The Effect of Using Organic or Conventional Sires on Genetic Gain in Organic Pigs: A Simulation Study

Author:
Roos Marina Zaalberg; Hanne Marie Nielsen; Anders Christian Sørensen; Thinh T. Chu; Just Jensen; Trine Michelle Villumsen
Source:
Animals 2022 v.12 no.4 pp. -
ISSN:
2076-2615
Subject:
genotype-environment interaction,   etc   ; genetic improvement; organic production; swine;     Show all 4 Subjects
Abstract:
... Current organic pig-breeding programs use pigs from conventional breeding populations. However, there are considerable differences between conventional and organic production systems. This simulation study aims to evaluate how the organic pig sector could benefit from having an independent breeding program. Two organic pig-breeding programs were simulated: one used sires from a conventional breedi ...
DOI:
10.3390/ani12040455

6. Genetic parameters and genotype by environment interaction for growth traits of razor clam Sinonovacula constricta, from outdoor pond and semi-natural environment

Author:
Yihua Chen; Yukuan Chen; Liang Tao; Xinxin Du; Zhiguo Dong; Donghong Niu; Jiale Li
Source:
Aquaculture reports 2022 v.24 pp. 101173
ISSN:
2352-5134
Subject:
genotype-environment interaction,   etc   ; Veneroida; aquaculture; body weight; phenotype;     Show all 5 Subjects
Abstract:
... The razor clam, Sinonovacula constricta, is a commercially important bivalve. To date, there have been very limited quantitative genetic studies of this species, especially in different aquaculture environments. This study is the first report of genotype by environment (G × E) interactions for growth traits of razor clams from outdoor pond (OP) and semi-natural environments (SNE). Over a 2-month p ...
DOI:
10.1016/j.aqrep.2022.101173

7. Optimizing the test locations and replicates in multi‐environmental cotton registration trials in southern Xinjiang, China

Author:
Naiyin Xu; Yintao Qiao; Suqin Zhao; Xiaoni Yang; Jian Li; Michel Fok
Source:
Crop science 2022 v.62 no.5 pp. 1866-1879
ISSN:
0011-183X
Subject:
genotype-environment interaction,   etc   ; Gossypium hirsutum; cotton; cultivars; genotype; heritability; China;     Show all 7 Subjects
Abstract:
... Multi‐environment trials are routinely conducted around the world to select superior cultivars; the numbers of replicates and locations remains insufficiently studied despite their effects on trial efficiency and cost. The objective of the present study was to compensate for the mentioned lack by dealing with the specific case of cotton (Gossypium hirsutum L.) in arid conditions of China and by es ...
DOI:
10.1002/csc2.20811

8. Adaptability and stability of soybean (Glycine max L.) genotypes in semiarid conditions

Author:
José Ricardo Tavares de Albuquerque; Hamurábi Anizio Lins; Manoel Galdino dos Santos; Márcio Alexandre Moreira de Freitas; Fernando Sarmento de Oliveira; Almir Rogério Evangelista de Souza; Lindomar Maria da Silveira; Glauber Henrique de Sousa Nunes; Aurélio Paes Barros Júnior; Paulo Fernando de Melo Jorge Vieira
Source:
Euphytica 2022 v.218 no.5 pp. 61
ISSN:
0014-2336
Subject:
genotype-environment interaction,   etc   ; Glycine max; cultivars; grain yield; phenotype; soybeans; Brazil;     Show all 7 Subjects
Abstract:
... Soybean production in Brazil is concentrated in the central and southern regions of the country, although expansion is occurring toward the northeast, where semi-arid conditions are predominant. There is little information on the behavior of soybean cultivars in semiarid climates; therefore, the objective of this study was to evaluate the interaction of soybean genotypes by environment, adaptabili ...
DOI:
10.1007/s10681-022-03012-0

9. Stability on Maize Hybrids Based on GGE Biplot Graphical Technique

Author:
Seyed Habib Shojaei; Khodadad Mostafavi; Mohammad Reza Bihamta; Ali Omrani; Seyed Mohammad Nasir Mousavi; Árpád Illés; Csaba Bojtor; Janos Nagy
Source:
Agronomy 2022 v.12 no.2 pp. -
ISSN:
2073-4395
Subject:
genotype-environment interaction,   etc   ; agronomy; analysis of variance; corn; genotype; hybrids; probability;     Show all 7 Subjects
Abstract:
... In this study, 12 maize hybrids were planted and evaluated to determine the effect of genotype and genotype-environment interaction (GEI) base GGE (genotype plus genotype-by-environment) using a Graphical biplot technique in four research stations (Arak, Birjand, Shiraz and Karaj) within two years using a Randomized Complete Blocks Design (RCBD). The combined analysis of variance showed that the e ...
DOI:
10.3390/agronomy12020394

10. Bayesian GGE model for heteroscedastic multienvironmental trials

Author:
Luciano Antonio de Oliveira; Carlos Pereira da Silva; Alessandra Querino da Silva; Cristian Tiago Erazo Mendes; Joel Jorge Nuvunga; José Airton Rodrigues Nunes; Rafael Augusto da Costa Parrella; Marcio Baleste; Júlio Sílvio de Sousa Bueno Filho
Source:
Crop science 2022 v.62 no.3 pp. 982-996
ISSN:
0011-183X
Subject:
genotype-environment interaction,   etc   ; Bayesian theory; cultivars; dissection; genotype; heteroskedasticity; models; variance;     Show all 8 Subjects
Abstract:
... The dissection of genotype × environment interaction (GEI) is a crucial aspect of the final stages of plant breeding pipelines and recommendation of cultivars. Linear‐bilinear models used to analyze this interaction, such as the additive main effects and multiplicative interaction (AMMI) and genotype plus GEI (GGE), often assume homogeneity of the residual variances across environments which affec ...
DOI:
10.1002/csc2.20696

11. Genomic associations with poxvirus across divergent island populations in Berthelot's pipit

Author:
Eleanor C. Sheppard; Claudia A. Martin; Claire Armstrong; Catalina González‐Quevedo; Juan Carlos Illera; Alexander Suh; Lewis G. Spurgin; David S. Richardson
Source:
Molecular ecology 2022 v.31 no.11 pp. 3154-3173
ISSN:
0962-1083
Subject:
genotype-environment interaction,   etc   ; Anthus; alleles; birds; genetic variation; genomics; spatial variation;     Show all 7 Subjects
Abstract:
... Understanding the mechanisms and genes that enable animal populations to adapt to pathogens is important from an evolutionary, health and conservation perspective. Berthelot's pipit (Anthus berthelotii) experiences extensive and consistent spatial heterogeneity in avian pox infection pressure across its range of island populations, thus providing an excellent system with which to examine how patho ...
DOI:
10.1111/mec.16461

12. Grain yield stability of black soybean lines across three agroecosystems in West Java, Indonesia

Author:
Acep Atma Wijaya; Haris Maulana; Gatut Wahyu Anggoro Susanto; Dadang Sumardi; Suseno Amien; Dedi Ruswandi; Agung Karuniawan
Source:
Open Agriculture 2022 v.7 no.1 pp. 749-763
ISSN:
2391-9531
Subject:
genotype-environment interaction,   etc   ; Glycine soja; agriculture; agroecosystems; genotype; grain yield; soybeans; Indonesia;     Show all 8 Subjects
Abstract:
... Black soybean (Glycine soja (L.) Merril) is one of the potential agricultural commodities in Indonesia. The multilocation trial is the primary requirement for variety release before farmers can widely use the new varieties. Various stability measurements on grain yields will provide more accurate information in selecting superior lines. The aims of the study were to: (i) identify the effect of gen ...
DOI:
10.1515/opag-2022-0137

13. Invited review: A quarter of a century—International genetic evaluation of dairy sires using MACE methodology

Author:
M.A. Nilforooshan; H. Jorjani
Source:
Journal of dairy science 2022 v.105 no.1 pp. 3-21
ISSN:
0022-0302
Subject:
genotype-environment interaction,   etc   ; Holstein; dairy cattle; dairy science; genomics; industry; statistical models;     Show all 7 Subjects
Abstract:
... For the past few decades, the international exchange of genetic materials has accelerated. This acceleration has been more substantial for dairy cattle compared with other species. The industry faced the need to put international genetic evaluation (IGE) systems in place. The Interbull Centre has been conducting IGE for various dairy cattle breeds and traits. This study reviews the past and the cu ...
DOI:
10.3168/jds.2021-20927

14. Reaction norm model to describe environmental sensitivity in Girolando cattle

Author:
Darlene dos Santos Daltro; Diego Pagung Ambrosini; Renata Negri; Marcos Vinícius Gualberto Barbosa da Silva; Jaime Araújo Cobuci
Source:
Livestock science 2022 v.263 pp. 105025
ISSN:
1871-1413
Subject:
genotype-environment interaction,   etc   ; Girolando; animal models; heritability; milk yield; t-test; Brazil;     Show all 7 Subjects
Abstract:
... The aim was to identify the effect of the genotype-environment interaction (GEI) for test-day milk yield (TMDY) in Girolando cows. Data were a total of 614,580 observations from 87,395 first-lactation cows between 2000 and 2014. The animal model (MA) and reaction standard hierarchical models were adjusted with homogeneous and heterogeneous variances in one step (MMRA1p-T-Ho and MMRA1p-T-He, respec ...
DOI:
10.1016/j.livsci.2022.105025

15. Assessment of GGE, AMMI, Regression, and Its Deviation Model to Identify Stable Rice Hybrids in Bangladesh

Author:
M Jamil Hasan; M Umma Kulsum; Umakanta Sarker; M Quamrul Islam Matin; Nazmul Hoque Shahin; M Shahjahan Kabir; Sezai Ercisli; Romina Alina Marc
Source:
Plants 2022 v.11 no.18 pp. -
ISSN:
2223-7747
Subject:
genotype-environment interaction,   etc   ; genotype; grain yield; hybrids; models; plant height; rice; Bangladesh;     Show all 8 Subjects
Abstract:
... Twenty-six rice hybrids were evaluated at three locations. Data were normally distributed after running the Shapiro–Wilk test. Plant height and effective tillers/hills showed leptokurtic distribution, indicating these traits were controlled by fewer genes, whereas the rest of the attributes had platykurtic distribution, indicating these traits were controlled by many genes. Most of the traits were ...
DOI:
10.3390/plants11182336

16. Effects of the individual rearing stage on the growth traits of candidate giant freshwater prawns (Macrobrachium rosenbergii)

Author:
Juan Sui; Sheng Luan; Guoliang Yang; Zhenglong Xia; Qiongying Tang; Kun Luo; Xianhong Meng; Jie Kong
Source:
Aquaculture international 2022 v.30 no.4 pp. 1659-1673
ISSN:
0967-6120
Subject:
genotype-environment interaction,   etc   ; Macrobrachium rosenbergii; aquaculture; body weight; freshwater; heritability; overwintering; weight gain;     Show all 8 Subjects
Abstract:
... In most breeding programs of Macrobrachium rosenbergii, the candidate parents will go through an overwintering period of individual rearing stage (IRS) after the communal rearing stage (CRS). To study whether environmental differences affect the growth traits of candidate parents, the heritability (h²) and genotype by environment (G × E) interaction were estimated for harvest body weight (HBW) and ...
DOI:
10.1007/s10499-021-00827-x

17. Quantification of genotype × environment interaction of agronomic traits in ashwagandha (Withania somnifera (L.) Dunal)

Author:
A. Kumar; A.C. Jnanesha; V. Kumar M; R.K. Lal
Source:
Acta ecologica Sinica 2022 pp. -
ISSN:
1872-2032
Subject:
genotype-environment interaction,   etc   ; Ayurvedic medicine; Withania somnifera; genetic variation; genotype; medicinal plants; India;     Show all 7 Subjects
Abstract:
... Ashwagandha is a popular industrially medicinal plant used in Ayurveda and other traditional medical systems. We looked at the stability of the sixteen economic traits in the five ashwagandha genotypes in four locations over two years in south India. The pooled ANOVA showed significant differences among different lines of ashwagandha. The five genotypes (G), genotypes × locations interaction (G ×  ...
DOI:
10.1016/j.chnaes.2022.07.002

18. Influences of traits associations for essential oil yield stability in multi-environment trials of vetiver (Chrysopogon zizanioides L. Roberty)

Author:
R.K. Lal; C.S. Chanotiya; P. Gupta; A. Mishra
Source:
Biochemical systematics and ecology 2022 v.103 pp. 104448
ISSN:
0305-1978
Subject:
genotype-environment interaction,   etc   ; Chrysopogon zizanioides; chemotaxonomy; color; cultivars; ecology; essential oils; genotype; grasses; India;     Show all 10 Subjects
Abstract:
... Vetiver is a perennial aromatic grass with thin essential oil-rich roots. The current investigation was conducted at the CSIR-CIMAP, Lucknow (India), on the eighty distinct vetiver lines. The experiment was conducted over three consecutive years, 2017–18, 2018–19, and 2019-20 using a randomized complete block design with three replications. The genotype (G) and genotype × environment (GE) interact ...
DOI:
10.1016/j.bse.2022.104448

19. Contribution of temperate germplasm to the performance of maize hybrids under stress and non-stress environments in South Africa

Author:
Sphiwokuhle Shandu; Edmore Gasura; Kingstone Mashingaidze; John Derera
Source:
South African journal of plant and soil = 2022 v.39 no.1 pp. 66-76
ISSN:
2167-034X
Subject:
genotype-environment interaction,   etc   ; corn; genotype; germplasm; grain yield; soil; Corn Belt region; South Africa;     Show all 8 Subjects
Abstract:
... Increases in genetic gains are crucial to maize breeding programmes. The objectives of this study were to identify higher-yielding and stable maize hybrids across stress and non-stress environments, to identify representative test environments for testing and selection of superior maize genotypes, and to determine the contribution of temperate maize germplasm in the performance of new tropical hyb ...
DOI:
10.1080/02571862.2021.1994047

20. Genotype by environment analysis on multi‐canopy cropping system in rice: Effects of different types of flag leaves

Author:
Ummu Fitrothul Hidayah; Willy Bayuardi Suwarno; Hajrial Aswidinnoor
Source:
Agronomy journal 2022 v.114 no.1 pp. 356-365
ISSN:
0002-1962
Subject:
genotype-environment interaction,   etc   ; Oryza sativa; agronomy; dry season; genotype; leaves; rice; wet season; Indonesia;     Show all 9 Subjects
Abstract:
... Breeding rice (Oryza sativa L.) for the multi‐canopy (MC) cropping system is one of the novel ideas for increasing production. This system involves combining rice genotypes with different plant heights to form stratified panicles and flag leaves. This study aimed to elucidate the effects of different characteristics of flag leaves of tall plant genotypes on yield and agronomic traits in MC cultiva ...
DOI:
10.1002/agj2.20959