A5089048683- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Genetic Mapping and Diversity in Plants and Animals
- Crop Yield and Soil Fertility
- Plant Pathogens and Fungal Diseases
- Plant Disease Resistance and Genetics
- Insect Pest Control Strategies
- Plant and soil sciences
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Genetic and phenotypic traits in livestock
- Plant Disease Management Techniques
- Botanical Research and Applications
- Mycorrhizal Fungi and Plant Interactions
- Mycotoxins in Agriculture and Food
- Plant Pathogens and Resistance
- Plant-Microbe Interactions and Immunity
- Insect Resistance and Genetics
- Optimal Experimental Design Methods
- Berry genetics and cultivation research
- Nematode management and characterization studies
- Plant Physiology and Cultivation Studies
- Agriculture, Plant Science, Crop Management
- Yeasts and Rust Fungi Studies
- Banana Cultivation and Research
Chapingo Autonomous University
2015-2024
Universidad Autónoma de Ica
2006-2024
Centro Internacional de Mejoramiento de Maíz Y Trigo
2012-2023
Universidad del Ejército y Fuerza Aérea
2022
International Maize and Wheat Improvement Center
2013
Colegio de Postgraduados
1998-1999
Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study mapped diversity array technology (DArT) markers to find with resistance stem rust, leaf yellow powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize Wheat Improvement Center (CIMMYT). Two linear mixed models were assess marker-trait incorporating information on population structure covariance...
ABSTRACT Genomic selection incorporates all the available marker information into a model to predict genetic values of breeding progenies for selection. The objective this study was estimate gains in grain yield from genomic (GS) eight bi‐parental maize populations under managed drought stress environments. In each population, 148 300 F 2:3 (C 0 ) were derived and crossed single‐cross tester complementary heterotic group. resulting testcrosses population evaluated two four three well‐watered...
META-R (multi-environment trial analysis in R) is a suite of R scripts linked by graphical user interface (GUI) designed Java language. The objective to accurately analyze multi-environment plant breeding trials (METs) fitting mixed and fixed linear models from experimental designs such as the randomized complete block design (RCBD) alpha-lattice/lattice designs. simultaneously estimates best unbiased estimators (BLUEs) predictors (BLUPs). Additionally, it computes variance-covariance...
ABSTRACT While genetic resources provide an invaluable gene pool for crop breeding, the majority of accessions in germplasm collections remain uncharacterized and their potential to improve stress adaptation is not quantified. A selection 25 elite wheat ( Triticum aestivum L.) were characterized agronomic physiological trait expression drought‐ heat‐stressed environments. Under drought, traits best associated with yield canopy temperature, water uptake, carbon isotope discrimination,...
Despite QTL mapping being a routine procedure in plant breeding, approaches that fully exploit data from multi-trait multi-environment (MTME) trials are limited. Mixed models have been proposed both for analysis and analysis, but these break down when the number of traits environments increases. We present an efficient MTME with mixed by reducing dimensionality genetic variance–covariance matrix structuring this using direct products relatively simple matrices representing variation trait...
Abstract To increase maize ( Zea mays L.) yields in drought‐prone environments and offset predicted yield losses under future climates, the development of improved breeding pipelines using a multi‐disciplinary approach is essential. Elucidating key growth processes will provide opportunities to improve drought progress through identification phenotypic traits, ideotypes, donors. In this study, we tested large set tropical subtropical inbreds single cross hybrids reproductive stage stress...
Abstract Genomic selection (GS) increases genetic gain by reducing the length of cycle, as has been exemplified in maize using rapid cycling recombination biparental populations. However, no results GS applied to multi-parental populations have reported so far. This study is first show realized gains genomic (RCGS) for four cycles a tropical population. Eighteen elite lines were intercrossed twice, and self-pollinated once, form cycle 0 (C0) training A total 1000 ear-to-row C0 families was...
Wheat ( Triticum aestivum L.) is a major staple food crop grown worldwide on >220 million ha. Climate change regarded to have severe effect wheat yields, and unpredictable drought stress one of the most important factors. Breeding can significantly contribute mitigation climate effects production by developing drought‐tolerant germplasm. The objective our study was determine annual genetic gain for grain yield (GY) internationally distributed Semi‐Arid Yield Trials, during 2002–2003...
We calculated the annual genetic gains for grain yield (GY) of wheat ( Triticum aestivum L.) achieved over 8 yr international Elite Spring Wheat Yield Trials (ESWYT), from 2006–2007 (27th ESWYT) to 2014–2015 (34th ESWYT). In total, 426 locations were classified within three main megaenvironments (MEs): ME1 (optimally irrigated environments), ME4 (drought‐stressed and ME5 (heat‐stressed environments). By fitting a factor analytical structure modeling genotype × environment (G E) interaction,...
Partial least squares (PLS) and factorial regression (FR) are statistical models that incorporate external environmental and/or cultivar variables for studying interpreting genotype × environment interaction (GEl). The Additive Main effect Multiplicative Interaction (AMMI) model uses only the phenotypic response variable of interest; however, if information on (or genotypic) is available, this can be regressed scores estimated from AMMI superimposed biplot. objectives study with two wheat [...
ABSTRACT The Global Wheat Program of the International Maize and Improvement Center (CIMMYT) develops distributes improved germplasm targeted toward various wheat growing regions developing world. objective our study was to quantify genetic yield gains in CIMMYT's spring bread ( Triticum aestivum L.) Elite Spring Yield Trial (ESWYT) distributed over past 15 yr (1995–2009) as determined by performance entries across 919 environments 69 countries. To determine annual gains, differences mean...
In this study, we defined the target population of environments (TPE) for wheat breeding in India, largest producer South Asia, and estimated correlated response to selection prediction ability five (SEs) Mexico. We also grain yield (GY) gains each TPE. Our analysis used meteorological, soil, GY data from international Elite Spring Wheat Yield Trials (ESWYT) distributed by International Maize Improvement Center (CIMMYT) 2001 2016. identified three TPEs: TPE 1, optimally irrigated...
Wheat dough characteristics and end-use quality are strongly influenced by the amount specific composition of glutenins, major components gluten. Such proteins divided into high-molecular-weight encoded Glu-A1, Glu-B1 Glu-D1 loci; low-molecular-weight Glu-A3, Glu-B3 Glu-D3 loci. Allelic variation at each these loci has been associated with changes in wheat functionality. However, most studies conducted so far included a relatively limited number genotypes. Also for this reason, it is still...
The partial least squares (PLS) regression method relates genotype ✕ environment interaction effects (GEI) as dependent variables (Y) to external environmental (or cultivar) the explanatory (X) in one single estimation procedure. We applied PLS two wheat data sets with objective of determining most relevant cultivar and that explained grain yield GEI. One set had field experiments, includingseven durum ( Triticum turgidum L. var. ) cultivars other, seven bread aestivum L.) cultivars, both...
A set of 25 advanced breeding lines and released varieties wheat ( Triticum aestivum L.) developed by different centers in India were assessed for their adaptation 18 environments across the Indo‐Gangetic plains. The study was aimed at identifying genotype(s) with high yield stability general heat stress particular. Jaipur Varanasi hotter than any other locations considered this study. Considerable intralocation variation genotypic response pattern observed over years dates sowing, more...
Multienvironment trials (METs) enable the evaluation of same genotypes under a variety environments and management conditions. We present META (Multi Environment Trial Analysis), suite 33 SAS programs that analyze METs with complete or incomplete block designs, without adjustment by covariate. The entire program is run through graphical user interface. can produce boxplots histograms for all traits, as well univariate statistics. It also calculates best linear unbiased estimators (BLUEs)...
The effects of climate change together with the projected future demand represents a huge challenge for wheat production systems worldwide. Wheat breeding can contribute to global food security through creation genotypes exhibiting stress tolerance and higher yield potential. objectives our study were (