Improving hexaploid spring wheat by introgression of alleles for yield component traits from durum wheat

Crop Science ◽  
2020 ◽  
Vol 60 (2) ◽  
pp. 759-771 ◽  
Author(s):  
Brittney H. Jones ◽  
Nancy K. Blake ◽  
Hwa‐Young Heo ◽  
Jay R. Kalous ◽  
John M. Martin ◽  
...  
Keyword(s):  
Durum Wheat ◽  
Spring Wheat ◽  
Yield Component ◽  
Component Traits ◽  
Yield Component Traits

Stability analysis of yield component traits in 25 durum wheat (Triticum durum Desf.) genotypes under contrasting irrigation water salinity

2015 ◽  
Vol 152 ◽  
pp. 1-6 ◽  
Author(s):  
Zoubeir Chamekh ◽  
Chahine Karmous ◽  
Sawsen Ayadi ◽  
Ali Sahli ◽  
Zied Hammami ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Durum Wheat ◽  
Irrigation Water ◽  
Triticum Durum ◽  
Yield Component ◽  
Water Salinity ◽  
Irrigation Water Salinity ◽  
Component Traits ◽  
Yield Component Traits ◽  
Triticum Durum Desf

scholarly journals QTL mapping for grain yield and three yield components in a population derived from two high-yielding spring wheat cultivars

2021 ◽  
Author(s):  
Kyle Isham ◽  
Rui Wang ◽  
Weidong Zhao ◽  
Justin Wheeler ◽  
Natalie Klassen ◽  
...  
Keyword(s):  
Grain Yield ◽  
Spring Wheat ◽  
Yield Components ◽  
Heading Date ◽  
Kernel Weight ◽  
Yield Component ◽  
Six Traits ◽  
Component Traits ◽  
Yield Component Traits ◽  
Spikelet Number Per Spike

Abstract Key message Four genomic regions on chromosomes 4A, 6A, 7B, and 7D were discovered, each with multiple tightly linked QTL (QTL clusters) associated with two to three yield components. The 7D QTL cluster was associated with grain yield, fertile spikelet number per spike, thousand kernel weight, and heading date. It was located in the flanking region of FT-D1, a homolog gene of Arabidopsis FLOWERING LOCUS T, a major gene that regulates wheat flowering. Abstract Genetic manipulation of yield components is an important approach to increase grain yield in wheat (Triticum aestivum). The present study used a mapping population comprised of 181 doubled haploid lines derived from two high-yielding spring wheat cultivars, UI Platinum and LCS Star. The two cultivars and the derived population were assessed for six traits in eight field trials primarily in Idaho in the USA. The six traits were grain yield, fertile spikelet number per spike, productive tiller number per unit area, thousand kernel weight, heading date, and plant height. Quantitative Trait Locus (QTL) analysis of the six traits was conducted using 14,236 single-nucleotide polymorphism (SNP) markers generated from the wheat 90 K SNP and the exome and promoter capture arrays. Of the 19 QTL detected, 14 were clustered in four chromosomal regions on 4A, 6A, 7B and 7D. Each of the four QTL clusters was associated with multiple yield component traits, and these traits were often negatively correlated with one another. As a result, additional QTL dissection studies are needed to optimize trade-offs among yield component traits for specific production environments. Kompetitive allele-specific PCR markers for the four QTL clusters were developed and assessed in an elite spring wheat panel of 170 lines, and eight of the 14 QTL were validated. The two parents contain complementary alleles for the four QTL clusters, suggesting the possibility of improving grain yield via genetic recombination of yield component loci.

Allelic response of yield component traits to resource availability in spring wheat

2020 ◽  
Author(s):  
Brittney H. Jones ◽  
Nancy K. Blake ◽  
Hwa-Young Heo ◽  
John M. Martin ◽  
Jessica A. Torrion ◽  
...  
Keyword(s):  
Spring Wheat ◽  
Resource Availability ◽  
Yield Component ◽  
Component Traits ◽  
Yield Component Traits

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

scholarly journals Genetic imprints of domestication for disease resistance, oil quality, and yield component traits in groundnut (Arachis hypogaea L.)

2018 ◽  
Vol 294 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Pawan Khera ◽  
Manish K. Pandey ◽  
Nalini Mallikarjuna ◽  
Manda Sriswathi ◽  
Manish Roorkiwal ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Arachis Hypogaea ◽  
Oil Quality ◽  
Yield Component ◽  
Arachis Hypogaea L ◽  
Component Traits ◽  
Yield Component Traits

scholarly journals Evaluation of Yield Component Traits of Honeybee-Pollinated (Apis mellifera L.)Rapeseed Canola (Brassica napus L.)

2010 ◽  
Vol 70 (2) ◽  
pp. 309-314 ◽  
Author(s):  
Ximena Araneda Durán ◽  
Rodrigo Breve Ulloa ◽  
José Aguilera Carrillo ◽  
Jorge Lavín Contreras ◽  
Marcelo Toneatti Bastidas
Keyword(s):  
Apis Mellifera ◽  
Brassica Napus ◽  
Yield Component ◽  
Brassica Napus L ◽  
Component Traits ◽  
Yield Component Traits

scholarly journals Inter-relationship analysis of yield and yield component traits in little millet (Panicum sumatrense) genotypes

2017 ◽  
Vol 12 (Special-4) ◽  
pp. 1126-1129
Author(s):  
V. MANIMOZHI SELVI ◽  
A. NIRMALAKUMARI
Keyword(s):  
Yield Component ◽  
Relationship Analysis ◽  
Little Millet ◽  
Component Traits ◽  
Yield Component Traits
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