Genotype*Environment Interaction for Early-maturing Rice Cultivars with High Palatability in Northern Kyushu. II. Heading date and culm length.

Three cultivars of each crop, wheat (Triticum aestivum L.), oats (Avena sativa L.), and barley (Hordeum vulgare L.), were grown for 4 yr at five locations north of the 55th parallel in northwestern Canada. There were highly significant differences among all main effects and interactions. Galt barley produced the highest seed yield followed by Centennial barley, Random oats and Harmon oats. Victory oats, Olli barley, Neepawa wheat and Pitic 62 wheat yielded similarly to each other while Thatcher wheat was significantly lower yielding. Mean environment yields ranged from 2080 to 5610 kg/ha. The genotype-environment (GE) interaction of species and cultivars was sufficiently complicated that it could not be characterized by one or two statistics (e.g., stability variances or regression coefficients). However, variability in frost-free period among years and locations contributed to the GE interaction because, for example, some cultivars yielded well (e.g., Pitic 62) only in those year-location environments with a relatively long frost-free period while other early maturing cultivars (e.g., Olli) performed well even in a short frost-free period environment.

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Performance of tropical early-maturing maize cultivars in multiple stress environments

Canadian Journal of Plant Science ◽

10.4141/cjps10059 ◽

2010 ◽

Vol 90 (6) ◽

pp. 831-852 ◽

Cited By ~ 37

Author(s):

B. Badu-Apraku ◽

A. Menkir ◽

S. Ajala ◽

R. Akinwale ◽

M. Oyekunle ◽

...

Keyword(s):

Drought Stress ◽

Striga Hermonthica ◽

Environment Interaction ◽

Maize Productivity ◽

Maize Cultivars ◽

Genotype Environment Interaction ◽

Maize Varieties ◽

Early Maturing ◽

Use Efficiency ◽

Growing Conditions

Maize (Zea mays L.) production in west Africa (WA) is constrained by drought, Striga hermonthica infestation and low soil nitrogen (N). Maize varieties resistant to Striga, drought, and low N are ideal for WA, but genotype × environment interaction on these traits are usually significant due to differential responses of cultivars to growing conditions. Three studies were conducted from 2007 to 2009 at five locations in Nigeria to evaluate the performance of selected early-maturing cultivars under drought stress versus well-watered, Striga-infested versus Striga-free, and in low- versus high-N environments. Drought stress reduced grain yield by 44%, Striga infestation by 65%, and low N by 40%. GGE biplot analysis showed that the genotypes TZE-W DT STR C4, Tillering Early DT, TZE-W DT STR QPM C0 and TZE-Y DT STR C4 performed relatively well in all study environments. TZE-W DT STR C4 and TZE Comp3 C1F2 were outstanding under drought, TZE-W DT STR C4, EVDT-W 99 STR QPM C0 and TZE-W DT STR QPMC0 under Striga infestation and Tillering Early DT, EVDT 97 STRC1, TZE-W DT STR C4, and TZE Comp3 C3 under N deficiency. Maize productivity in WA can be significantly improved by promoting cultivation of genotypes that combine high resistance/tolerance to Striga and drought with improved N-use efficiency.

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Identification of QTLs associated with variations in grain protein concentration in two-row barley

Australian Journal of Agricultural Research ◽

10.1071/ar03006 ◽

2003 ◽

Vol 54 (12) ◽

pp. 1211 ◽

Cited By ~ 20

Author(s):

L. C. Emebiri ◽

D. B. Moody ◽

J. F. Panozzo ◽

K. J. Chalmers ◽

J. M. Kretschmer ◽

...

Keyword(s):

Protein Concentration ◽

Heading Date ◽

Specific Effect ◽

Grain Protein ◽

Environment Interaction ◽

Multiple Trait ◽

Grain Protein Concentration ◽

Genotype Environment Interaction ◽

Trait Locus ◽

High Degree

Grain protein concentration (GPC) is arguably the most important factor when marketing malting barleys. Excessively high and excessively low GPC are both undesirable for malting and brewing. GPC variation is influenced to a high degree by the environment and exhibits relatively large genotype × environment interaction. Identification of molecular markers linked to genes influencing GPC would allow barley breeders to select for GPC independent of environmental effects. A genetic linkage map with 270 markers was constructed to identify the genetic basis for variation in GPC, using 180 doubled haploid lines from a cross of VB9524 and ND11231*12. The parental genotypes were chosen on the basis of their known low GPC phenotype and their lack of common ancestry. A combination of composite interval and multiple-trait quantitative trait locus (QTL) mapping approach allowed the identification of QTLs with specific impact on GPC, and those likely to depend on or be influenced by variations in grain yield and heading date. The study identified a major QTL with a 'stable' and specific effect on GPC and located near the centromeric region of chromosome 5H. The QTL accounted for ~21% of the phenotypic variation in this trait. The allele for reduced GPC at this region was inherited from the ND11231*12 parent, with additive effect of ~1% in GPC. Additional QTLs with minor effects (5–10% explained variation) were also detected on chromosome 2H, 4H, and 7H. The parent VB9524 was the source of the low GPC alleles at these regions.

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Genotype X Environment Interaction and Yield Stability in Early-Maturing Cowpea (Vigna unguiculata (L.) Walp.) Landraces in Ethiopia

Advances in Agriculture ◽

10.1155/2021/3786945 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Yirga Kindie ◽

Bulti Tesso ◽

Berhanu Amsalu

Keyword(s):

Grain Yield ◽

Analysis Of Variance ◽

Vigna Unguiculata ◽

Regression Coefficient ◽

Yield Stability ◽

Environment Interaction ◽

Genotype X Environment ◽

Genotype Environment Interaction ◽

Cropping Season ◽

Early Maturing

The study was conducted to estimate the effects of genotype, environment, and genotype × environment interaction on grain yield and yield-related traits and to identify stability genotype. At six environments, twenty-four cowpea landraces and one check were evaluated in a 5 × 5 triple lattice during the 2019 cropping season. Data were collected on yield and yield-related traits. The analysis of variance for each environment and across environments showed significant differences among genotypes, environments, and GEI for most traits including yield. Environment, genotype, and GEI showed 27.45%, 20.9%, and 49.55% contribution to the total sum of squares, respectively, for grain yield. This indicated that the environments were diverse and most of the variation in grain yield was caused due to interaction and environmental means. G24 (2632 kg ha−1) and G16 (2290 kg ha−1) were the highest yielder and stable genotypes with mean grain yields above the grand mean (2049.28 kg ha−1) and standard check (2273 kg ha−1). G24 and G16 were the most stable genotypes according to cultivar superiority, Wricke’s ecovalence, regression coefficient, and devotion from regression stability models.

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Resolving a QTL complex for height, heading, and grain yield on chromosome 3A in bread wheat

Journal of Experimental Botany ◽

10.1093/jxb/erab058 ◽

2021 ◽

Vol 72 (8) ◽

pp. 2965-2978

Author(s):

Alba Farre Martinez ◽

Clare Lister ◽

Sue Freeman ◽

Jun Ma ◽

Simon Berry ◽

...

Keyword(s):

Grain Yield ◽

Field Experiments ◽

Reference Genome ◽

Heading Date ◽

Environment Interaction ◽

Grain Number ◽

Genotype Environment Interaction ◽

Wall Growth ◽

And Performance ◽

Chromosome 3A

Abstract Crop height (Ht), heading date (Hd), and grain yield (GY) are inter-related in wheat. Independent manipulation of each is important for adaptation and performance. Validated quantitative trait loci (QTLs) for all three co-locate on chromosome 3A in the Avalon×Cadenza population, with increased Ht, Hd, and GY contributed by Cadenza. We asked if these are linked or pleiotropic effects using recombinant lines, and showed that Ht and Hd effects are independent. The Chinese Spring equivalent to the newly defined Ht interval contained a gene cluster involved in cell wall growth and displaying high levels of differential transcript expression. The Hd locus is larger and rearranged compared with the reference genome, but FT2 (Flowering Locus T2) is of particular interest. The Hd effect acted independently of photoperiod and vernalization, but did exhibit seasonal genotype×environment interaction. Recombinants were phenotyped for GY in replicated field experiments. GY was most associated with Cadenza alleles for later Hd, supporting physiological studies using the same lines proposing that ‘late’ alleles at this locus increase spike fertility and grain number (GN). The work has uncoupled height from heading and yield, and shown that one of very few validated GY QTLs in wheat is probably mediated by phenological variation.

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