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1. Stability Analysis in Tomato Inbreds and Their F1s for Yield and Quality Traits

Author:
Kumar, Ravindra; Singh, S. K.; Srivastava, K.
Source:
Agricultural research 2019 v.8 no.2 pp. 141-147
ISSN:
2249-720X
Subject:
genotype-environment interaction,   etc   ; crossing; cultivars; genotype; plant breeding; tomatoes;     Show all 6 Subjects
Abstract:
... The primary aim of plant breeding is to improve stability in yield and to obtain varieties with good quality. For this reason, a study of 43 tomato genotypes (30 F₁s and 13 lines) was evaluated for yield and its components for four seasons from 2010 to 2012. In each seasons, the experiment was conducted in randomized block design with three replications. Genotype × environment (G × E) interactions ...
DOI:
10.1007/s40003-018-0358-y

2. Robust tests for gene–environment interaction in case-control and case-only designs

Author:
Zang, Yong; Fung, Wing Kam; Cao, Sha; Ng, Hon Keung Tony; Zhang, Chi
Source:
Computational statistics & data analysis 2019 v.129 pp. 79-92
ISSN:
0167-9473
Subject:
genotype-environment interaction,   etc   ; genetic models; genome-wide association study;     Show all 3 Subjects
Abstract:
... The case-control and case-only designs are commonly used to detect the gene–environment (G–E) interaction. In principle, the tests based on these two designs require a pre-specified genetic model to achieve an expected power of detecting the G–E interaction. Unfortunately, for most complex diseases the underlying genetic models are unknown. It is well known that mis-specification of the genetic mo ...
DOI:
10.1016/j.csda.2018.08.014

3. Yield performances of Asiatic pennyworth accessions evaluated in multi environment trials in West Java, Indonesia

Author:
Bermawie, N.; Purwiyanti, S.; Syakir, M.
Source:
Acta horticulturae 2018 no.1205 pp. 811-816
ISSN:
0567-7572
Subject:
genotype-environment interaction,   etc   ; environmental factors; genotype; Indonesia;     Show all 4 Subjects
Abstract:
... Yield and asiaticoside contents may be influenced by genotype and environmental condition. Approaches to improve the herbal production with desired asiaticoside contents have been done by selecting potential accessions and grown at several agro ecological locations. The objectives of the study were to evaluate herbal yield and contents of asiaticoside stability of five accessions in six different ...
DOI:
10.17660/ActaHortic.2018.1205.102

4. Biplot pattern interaction analysis and statistical test for crossover and non-crossover genotype-by-environment interaction in peach

Author:
Angelini, Julia; Faviere, Gabriela Soledad; Bortolotto, Eugenia Belén; Arroyo, Luis; Valentini, Gabriel Hugo; Domingo Lucio Cervigni, Gerardo
Source:
Scientia horticulturae 2019 v.252 pp. 298-309
ISSN:
0304-4238
Subject:
genotype-environment interaction,   etc   ; analysis of variance; genotype; mathematical theory; peaches; plant breeding; statistical models;     Show all 7 Subjects
Abstract:
... The presence of genotype-by-environment interactions (GE) remains a major issue for crop improvement. The aims of this work were: i) to compare the efficiency of parametric and non-parametric methods to test the presence of crossover (COI) and non-crossover GE (NCOI), ii) visual examination of the relationships between environments and genotypes tested, and iii) to test the effectiveness of dividi ...
DOI:
10.1016/j.scienta.2019.03.024

5. Yielding to the image: How phenotyping reproductive growth can assist crop improvement and production

Author:
Dreccer, M. Fernanda; Molero, Gemma; Rivera-Amado, Carolina; John-Bejai, Carus; Wilson, Zoe
Source:
Plant science 2019 v.282 pp. 73-82
ISSN:
0168-9452
Subject:
genotype-environment interaction,   etc   ; agronomy; crops; flowering; phenology; phenotype; plant breeding; pollen; yield components;     Show all 9 Subjects
Abstract:
... Reproductive organs are the main reason we grow and harvest most plant species as crops, yet they receive less attention from phenotyping due to their complexity and inaccessibility for analysis. This review highlights recent progress towards the quantitative high-throughput phenotyping of reproductive development, focusing on three impactful areas that are pivotal for plant breeding and crop prod ...
DOI:
10.1016/j.plantsci.2018.06.008

6. Inferring the potentially complex genetic architectures of adaptation, sexual dimorphism and genotype by environment interactions by partitioning of mean phenotypes

Author:
Armstrong, Andrew; Anderson, Nathan W.; Blackmon, Heath
Source:
Journal of evolutionary biology 2019 v.32 no.4 pp. 369-379
ISSN:
1010-061X
Subject:
genotype-environment interaction,   etc   ; adaptive radiation; backcrossing; environmental factors; gender differences; genes; genotype; phenotype; rearing; sexual dimorphism;     Show all 10 Subjects
Abstract:
... Genetic architecture fundamentally affects the way that traits evolve. However, the mapping of genotype to phenotype includes complex interactions with the environment or even the sex of an organism that can modulate the expressed phenotype. Line‐cross analysis is a powerful quantitative genetics method to infer genetic architecture by analysing the mean phenotype value of two diverged strains and ...
DOI:
10.1111/jeb.13421

7. Gene-Environment Interaction in the Era of Precision Medicine

Author:
Li, Jingjing; Li, Xiao; Zhang, Sai; Snyder, Michael
Source:
Cell 2019 v.177 no.1 pp. 38-44
ISSN:
0092-8674
Subject:
genotype-environment interaction,   etc   ; Bayesian theory; environmental factors; genes; genetic factors; medicine; models; precision medicine; sequence analysis;     Show all 9 Subjects
Abstract:
... Innovative analytical frameworks are required to capture the complex gene-environment interactions. We investigate the insufficiency of commonly used models for disease genome analysis and suggest considering genetic interactions in complex diseases. For non-genetic factors, we study the emerging wearable technologies that have enabled quantification of physiological and environmental factors at a ...
DOI:
10.1016/j.cell.2019.03.004

8. Impact of Environment and Genotype‐by‐Environment Interaction on Functional Properties of Amylose‐Free and Wildtype Cassava Starches

Author:
Karlström, Amanda; Belalcazar, John; Sánchez, Teresa; Lenis, Jorge I.; Moreno, John L.; Pizarro, Mónica; Ricci, Julien; Dufour, Dominique; Tran, Thierry; Ceballos, Hernán
Source:
DieStärke = 2019 v.71 no.1-2 pp. e1700278
ISSN:
0038-9056
Subject:
genotype-environment interaction,   etc   ; altitude; analysis of variance; cassava; clones; functional properties; genotype; starch granules; viscosity;     Show all 9 Subjects
Abstract:
... Ten and thirty cassava genotypes producing wildtype and amylose‐free (waxy) starch respectively, are grown at low (LA) and intermediate (IA) altitudes (<213 and >900 m above sea level (m.a.s.l.) respectively). The functional properties of the starch from these materials are analyzed. The relative importance of environment, clones (within starch type) and genotype‐by‐environment interaction (GxE) i ...
DOI:
10.1002/star.201700278

9. Simple parametric tests for trait–environment association

Author:
ter Braak, Cajo J. F.; Peres‐Neto, Pedro R.; Dray, Stéphane
Source:
Journal of vegetation science 2018 v.29 no.5 pp. 801-811
ISSN:
1100-9233
Subject:
genotype-environment interaction,   etc   ; correlation; environmental factors; linear models;     Show all 4 Subjects
Abstract:
... QUESTION: The CWM approach is an easy way of analysing trait–environment association by regressing (or correlating) the mean trait per plot against an environmental variable and assessing the statistical significance of the slope or the associated correlation coefficient. However, the CWM approach does not yield valid tests, as random traits (or random indicator values) are far too often judged si ...
DOI:
10.1111/jvs.12666

10. Using connectivity to identify climatic drivers of local adaptation: a response to Macdonald et al.

Author:
Prunier, Jérôme G.; Blanchet, Simon
Source:
Ecology letters 2018 v.21 no.7 pp. 1121-1123
ISSN:
1461-023X
Subject:
genotype-environment interaction,   etc   ; climatic factors; data collection; statistical analysis;     Show all 4 Subjects
Abstract:
... Macdonald et al. (Ecol. Lett., 21, 2018, 207–216) proposed an analytical framework for identifying evolutionary processes underlying trait‐environment relationships observed in natural populations. Here, we propose an expanded and refined framework based on simulations and bootstrap‐based approaches, and we elaborate on an important statistical caveat common to most datasets. ...
DOI:
10.1111/ele.12972

11. Interaction: Fisher’s Optimal Scores Revisited

Author:
Gower, JohnC.; Gardner-Lubbe, Sugnet; Le Roux, NielJ.
Source:
Journal of agricultural, biological, and environmental statistics 2018 v.23 no.1 pp. 92-112
ISSN:
1085-7117
Subject:
genotype-environment interaction,   etc   ; crops; genotype; models; statistics; variety trials;     Show all 6 Subjects
Abstract:
... The normal way of fitting a bilinear model to values of a quantitative variable classified by rows and columns is first to fit the main effects of rows and columns and then fit a biadditive model to the residual table. This gives the ordinary least squares optimal fit, usually visualised by biplots and, among other applications areas, is routinely used in genotype [Formula: see text] environment t ...
DOI:
10.1007/s13253-017-0311-8

12. Adaptability and stability of Coffea canephora genotypes cultivated at high altitude and subjected to low temperature during the winter

Author:
Martins, Madlles Queiroz; Partelli, Fábio Luiz; Golynski, Adelmo; de Sousa Pimentel, Nivaldo; Ferreira, Adésio; de Oliveira Bernardes, Carolina; Ribeiro-Barros, Ana Isabel; Ramalho, José Cochicho
Source:
Scientia horticulturae 2019 v.252 pp. 238-242
ISSN:
0304-4238
Subject:
genotype-environment interaction,   etc   ; Coffea canephora; altitude; climate change; climatic factors; genotype; heritability; prediction; statistical analysis; statistical models; temperature; winter; zoning;     Show all 13 Subjects
Abstract:
... Climate change prospections indicate large fluctuations in terrestrial temperature, what may change the zoning of coffee cultivation. This is particularly true for Coffea canephora (conilon or robusta coffee) to which some suitable areas may become inappropriate. Thus, conilon cultivation at high altitudes may be an option to establish C. canephora, mitigating the possible effects of productive ar ...
DOI:
10.1016/j.scienta.2019.03.044

13. Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding

Author:
van Eeuwijk, Fred A.; Bustos-Korts, Daniela; Millet, Emilie J.; Boer, Martin P.; Kruijer, Willem; Thompson, Addie; Malosetti, Marcos; Iwata, Hiroyoshi; Quiroz, Roberto; Kuppe, Christian; Muller, Onno; Blazakis, Konstantinos N.; Yu, Kang; Tardieu, Francois; Chapman, Scott C.
Source:
Plant science 2019 v.282 pp. 23-39
ISSN:
0168-9452
Subject:
genotype-environment interaction,   etc   ; breeding programs; genome; genomics; models; phenotype; plant breeding; plant physiology; prediction; single nucleotide polymorphism;     Show all 10 Subjects
Abstract:
... New types of phenotyping tools generate large amounts of data on many aspects of plant physiology and morphology with high spatial and temporal resolution. These new phenotyping data are potentially useful to improve understanding and prediction of complex traits, like yield, that are characterized by strong environmental context dependencies, i.e., genotype by environment interactions. For an eva ...
DOI:
10.1016/j.plantsci.2018.06.018

14. Integrating different stability models to investigate genotype × environment interactions and identify stable and high-yielding barley genotypes

Author:
Vaezi, Behrouz; Pour-Aboughadareh, Alireza; Mohammadi, Rahmatolah; Mehraban, Asghar; Hossein-Pour, Tahmasb; Koohkan, Ehsan; Ghasemi, Soraya; Moradkhani, Hoda; Siddique, Kadambot H. M.
Source:
Euphytica 2019 v.215 no.4 pp. 63
ISSN:
0014-2336
Subject:
genotype-environment interaction,   etc   ; analysis of variance; barley; genotype; grain yield; growing season; models; plant breeding; principal component analysis; Iran;     Show all 10 Subjects
Abstract:
... Barley is the fourth largest grain crop globally with varieties suited to temperate, subarctic, and subtropical areas. The identification and subsequent selection of superior varieties are complicated by genotype-by-environment interactions. The main objective of this study was to use parametric and non-parametric stability measures along with a GGE biplot model to identify high-yielding stable ba ...
DOI:
10.1007/s10681-019-2386-5

15. Capsaicinoids: Pungency beyond Capsicum

Author:
Naves, Emmanuel Rezende; de Ávila Silva, Lucas; Sulpice, Ronan; Araújo, Wagner L.; Nunes-Nesi, Adriano; Peres, Lázaro E.P.; Zsögön, Agustin
Source:
Trends in plant science 2019 v.24 no.2 pp. 109-120
ISSN:
1360-1385
Subject:
genotype-environment interaction,   etc   ; Capsicum annuum; biochemical pathways; biosynthesis; capsaicinoids; crops; cuisine; fruits; genome; hot peppers; industrial applications; metabolites; tomatoes;     Show all 13 Subjects
Abstract:
... Capsaicinoids are metabolites responsible for the appealing pungency of Capsicum (chili pepper) species. The completion of the Capsicum annuum genome has sparked new interest into the development of biotechnological applications involving the manipulation of pungency levels. Pungent dishes are already part of the traditional cuisine in many countries, and numerous health benefits and industrial ap ...
DOI:
10.1016/j.tplants.2018.11.001

16. Genotype-environment interaction involving site differences in expression of genetic variation along with genotypic rank changes: simulations of economic significance

Author:
Burdon, Rowland D.; Li, Yongjun
Source:
Tree genetics & genomes 2019 v.15 no.1 pp. 2
ISSN:
1614-2942
Subject:
genotype-environment interaction,   etc   ; Pinus radiata; disease resistance; genetic improvement; genetic variation; heritability; phenotype; selection index; wood density;     Show all 9 Subjects
Abstract:
... Implications of genotype × environment interaction resulting from site differences in expression of genetic variation (LoE interaction) were explored for some plausible scenarios for breeding radiata pine. Expected genetic gains were modelled in a Smith-Hazel selection index. Two sites were modelled, addressing two sets of three traits at each site, to create 6 × 6 genetic and phenotypic covarianc ...
DOI:
10.1007/s11295-018-1308-3

17. Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

Author:
Bocianowski, Jan; Warzecha, Tomasz; Nowosad, Kamila; Bathelt, Roman
Source:
Journal of applied genetics 2019 v.60 no.2 pp. 127-135
ISSN:
1234-1983
Subject:
genotype-environment interaction,   etc   ; Hordeum vulgare; additive effect; additive gene effects; analysis of variance; breeding programs; environmental impact; epistasis; genes; genotype; hybrids; models; spring barley; Poland;     Show all 14 Subjects
Abstract:
... The objective of this study was to assess genotype by environment interaction for 1000-kernel weight in spring barley lines grown in South Poland by the additive main effects and multiplicative interaction model. The study comprised of 32 spring barley (Hordeum vulgare L.) genotypes (two parental genotypes—breeding line 1 N86 and doubled haploid (DH) line RK63/1, and 30 DH lines derived from F₁ hy ...
DOI:
10.1007/s13353-019-00490-2

18. Adaptation of field pea varieties to organic farming across different environments of Italy

Author:
Pecetti, Luciano; Marcotrigiano, Angelo R.; Russi, Luigi; Romani, Massimo; Annicchiarico, Paolo
Source:
Crop & pasture science 2019 v.70 no.4 pp. 327-333
ISSN:
1836-5795
Subject:
genotype-environment interaction,   etc   ; Ascochyta; Pisum sativum; blight; climatic zones; genetic correlation; genotype; grain yield; lodging; organic production; peas; plant breeding; seeds; weeds; Italy;     Show all 15 Subjects
Abstract:
... This study aimed to support field pea (Pisum sativum L.) breeding strategies for organic systems of southern European environments, by assessing the size of genotype × environment interaction (GEI) due to spatial and temporal factors across climatically contrasting regions and identifying plant characters associated with genotype adaptive responses. Twelve recent varieties were evaluated for grain ...
DOI:
10.1071/CP18216

19. Gene-environment interaction and maternal arsenic methylation efficiency during pregnancy

Author:
Gao, Shangzhi; Mostofa, Md. Golam; Quamruzzaman, Quazi; Rahman, Mahmudur; Rahman, Mohammad; Su, Li; Hsueh, Yu-mei; Weisskopf, Marc; Coull, Brent; Christiani, David C.
Source:
Environment international 2019 v.125 pp. 43-50
ISSN:
0160-4120
Subject:
genotype-environment interaction,   etc   ; arsenic; cacodylic acid; genes; genetic variation; genotyping; gestation period; haplotypes; metabolism; metabolites; methylation; pregnancy; pregnant women; regression analysis; single nucleotide polymorphism; urine; Bangladesh;     Show all 17 Subjects
Abstract:
... Single nucleotide polymorphisms (SNPs) may influence arsenic methylation efficiency, affecting arsenic metabolism. Whether gene-environment interactions affect arsenic metabolism during pregnancy remains unclear, which may have implications for pregnancy outcomes.We aimed to investigate main effects as well as potential SNP-arsenic interactions on arsenic methylation efficiency in pregnant women.W ...
DOI:
10.1016/j.envint.2019.01.042

20. Screening oat germplasm for better adaptation to cold stress in the Southern Great Plains of the United States

Author:
Ayalew, Habtamu; Anderson, Joshua D.; Kumssa, Tadele T.; Maulana, Frank; Ma, Xue‐Feng
Source:
Journal of agronomy and crop science 2019 v.205 no.2 pp. 213-219
ISSN:
0931-2250
Subject:
genotype-environment interaction,   etc   ; Avena sativa; cold; cold stress; cold tolerance; forage crops; genes; genotype; germplasm; heritability; oats; overwintering; parents; screening; winter; Great Plains region; United States;     Show all 17 Subjects
Abstract:
... Oat (Avena sativa L.) is one of the most important forage crops in the Southern Great Plains of the United States. However, it is more sensitive to cold stress than other small grains. In this study, diverse oat germplasm was evaluated for winter survival across multiple years and locations in the region. Field screening started with an observation trial of 1,861 diverse genotypes in the 2012–2013 ...
DOI:
10.1111/jac.12318