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. 2023 Feb 28;11(6):3083-3095.
doi: 10.1002/fsn3.3290. eCollection 2023 Jun.

Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches

Behnam Bakhshi  1 , Hassan Amiri Oghan  2 , Valiollah Rameeh  3 , Hossein Zeinalzadeh Tabrizi  4 , Abdolhossein Askari  5 , Abolfazl Faraji  6 , Gholamreza Ghodrati  7 , Hamid Reza Fanaei  2 , Amir Khosro Danaei  8 , Narjes Khatoon Kazerani  9 , Kamal Payghamzadeh  6 , Davood Kiani  9 , Hossein Sadeghi  10 , Farnaz Shariati  2 , Alireza Dalili  11 , Mohammad Ali Aghajani Nasab Afrouzi  12
Affiliations

Trait profiling and genotype selection in oilseed rape using genotype by trait and genotype by yield*trait approaches

Behnam Bakhshi et al. Food Sci Nutr. .

Abstract

Selection and breeding for high-yielding in oilseed rape have always been one of the leading objectives for oilseed rape breeders. This process becomes more complicated when all quantitative traits are considered in selection in addition to grain yield. In the present study, 18 oilseed rape genotypes along with 2 check cultivars (RGS003 and Dalgan) were evaluated across 16 environments (a combination of 2 years and eight locations) in the tropical climate regions of Iran during 2018-2019 and 2019-2020 cropping seasons. The experiments were conducted in a format of randomized complete block design (RCBD) with three replications. The obtained multienvironmental trial data were utilized to conduct multivariate analysis, genotype by trait (GT) biplot, and genotype by yield*trait (GYT) biplot (Breeding, Genetics and Genomics, 1:2019). The GT and GYT biplot accounted for 55.5% and 93.6% of the total variation in the first two main components. Based on multivariate analysis and GT biplot, pod numbers in plant (PNP) and plant height (PH) were chosen as two key traits in spring oilseed rape genotypes for indirect selection due to high variation, strong positive correlation with grain yield (GY), and their high representatively and discriminability in genotype selection. The mean × stability GT biplot represented G10 (SRL-96-17) as the superior genotype. Based on the mean × stability GYT biplot, eight above-average genotypes were identified that took high scores in stability, high-yielding, and all evaluated quantitative traits at the same time. Based on the superiority index of GYT data, G10 (SRL-96-17) and G5 (SRL-96-11) indicated the best yield-trait combinations profile and ranked above check cultivars and then selected as superior genotypes. Similarly, cluster analysis using the WARD method also separated eight superior genotypes. Based on the result of the present study, GT ad GYT methodologies are recommended for trait profiling and genotype selection in oilseed rape breeding projects, respectively.

Keywords: GT biplot; GYT biplot; high‐yielding; multi environmental trial.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

FIGURE 1
FIGURE 1
The Pearson correlation among the evaluated traits of 20 oilseed rape genotypes. DEF, days to end flowering; DM, days to maturity; DSF, days to start flowering; FP, flowering period; GNP, grain numbers in pod; GY, grain yield; PH, plant height; PNP, pod numbers in plant; TGW, one thousand grain weight.
FIGURE 2
FIGURE 2
Path analysis for evaluated traits of 20 oilseed rape genotypes. DEF, days to end flowering; DM, days to maturity; DSF, days to start flowering; FP, flowering period; GNP, grain numbers in pod; GY, grain yield; PH, plant height; PNP, pod numbers in plant; TGW, one thousand grain weight.
FIGURE 3
FIGURE 3
Genotype by trait (GT) biplots; (a) The which‐won‐where biplot; (b) Ranking traits biplot based on both discriminating and representativeness; (c) Mean × stability biplot; (d) Ranking genotypes biplot based on both mean and stability. DEF, days to end flowering; DM, days to maturity; DSF, days to start flowering; FP, flowering period; GNP, grain numbers in pod; GY, grain yield; PH, plant height; PNP, pod numbers in plant; TGW, one thousand grain weight.
FIGURE 4
FIGURE 4
Genotype by yield*trait (GYT) biplots; (a) The which‐won‐where biplot; (b) Ranking traits biplot based on both discriminating and representativeness; (c) Mean × stability biplot; (d) Ranking genotypes biplot based on both mean and stability. DEF, days to end flowering; DM, days to maturity; DSF, days to start flowering; FP, flowering period; GNP, grain numbers in pod; GY, grain yield; PH, plant height; PNP, pod numbers in plant; TGW, one thousand grain weight.
FIGURE 5
FIGURE 5
Cluster analysis of genotypes and yield–trait combinations based on standardized GYT data using the WARD method. DEF, days to end flowering; DM, days to maturity; DSF, days to start flowering; FP, flowering period; GNP, grain numbers in pod; GY, grain yield; PH, plant height; PNP, pod numbers in plant; TGW, one thousand grain weight.
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