Coheritability and Genetic Advances of Agromorphological and Oil Quality Traits in Groundnut (Arachis hypogaea L.) Genotypes from Ethiopia

Abstract

Groundnut (Arachis hypogaea L.) is one of the most important oils, food, confectionery, and feed crops due to its high oil quality and richness in all classes of nutrients. Coheritability helps in determining the pattern of coinheritance of two or more traits. This study was aimed at determining the coheritability of oil and yield traits to provide means of conducting improvement of oil traits through breeding for yield traits. The coheritabilities of the traits were estimated by a pooled analysis of covariance (ANCOVA) for agromorphological and oil traits. The result indicated that all oil traits have shown medium to high coheritability with oil content, oil quality, and seed yield. The coheritability and genetic advance of the three agronomically important traits in oil crops including oil content, oleic to linoleic acid (O/L) ratio, and seed yield (SY) is greater than oil content, linoleic acid, and SY can be further evidence showing that both oil content and oil quality traits can be improved with seed yield, indicating that there is the possibility of making a selection for genotypes with high oil content, oil yield, and oil quality with high seed yield traits.

Correlation and path coefficient analyses in large seeded peanut (Arachis hypogaea L.) for kernel yield

“…Number of secondary branches per plant and sound mature kernel per cent showed positive indirect effect on kernel yield per plant via number of immature pods per plant, pod yield per plant, shelling percentage and palmitic acid content both at genotypic and phenotypic levels while palmitic acid content influenced the kernel yield per plant via days to 50% flowering, number of secondary branches per plant, shelling percentage, 100 seed weight, protein content, total soluble sugars and linoleic acid content. These results coincided with early reports made by Trivikramareddy et al (2017), Kumari and Sashidharan (2020) and Yusuf et al (2017). https://doi.org/10.37992/2023.1401.002 1 DFF G -0.882 0.034 0.393 -0.209 0.280 -0.006 0.007 0.245 -0.027 -0.048 -0.176 -0.295 0.078 0.229 0.010 -0.016 0.003 -0.028 0.089 -0.000 -0.031 -0.176 P -0.123 -0.002 -0.005 0.010 0.002 0.004 -0.000 -0.097 -0.004 0.051 -0.184* -0.043 -0.007 -0.017 -0.003 0.003 0.003 -0.002 0.032 0.003 0.010 -0.184* 2 DM G -0.082 0.367 0.208 -0.008 0.015 -0.034 0.013 0.075 -0.096 -0.010 -0.153 -0.322 0.095 -0.246 -0.001 -0.028 -0.001 0.037 -0.042 -0.005 -0.088 -0.153 P -0.005 -0.038 -0.003 0.002 0.001 -0.002 -0.002 -0.032 -0.023 0.002 -0.099 -0.048 -0.011 0.015 0.000 0.005 -0.001 0.002 -0.011 0.021 0.028 -0.099 3 PH G 0.519 -0.114 -0.669 0.132 -0.085 0.479 -0.003 -0.500 0.091 0.036 0.431** 0.660 -0.068 -0.092 0.002 0.039 -0.002 -0.058 0.001 0.049 0.431** P 0.047 0.008 0.012 -0.007 -0.001 0.053 0.000 0.166 0.016 -0.025 0.322** 0.082 0.008 -0.001 -0.001 -0.006 0.001 0.001 -0.017 -0.001 -0.014 0.322** 4 NPP G -0.784 0.013 0.375 -0.235 0.618 0.771 0.046 -0.093 -0.060 -0.107 0.203 -0.129 0.005 0.250 0.007 -0.013 -0.012 -0.068 -0.191 -0.008 -0.182 0.203 P -0.053 -0.003 -0.003 0.024 0.004 0.047 -0.002 0.026 -0.005 0.052 0.081 -0.013 0.007 -0.008 -0.002 0.001 -0.004 -0.002 -0.040 0.019 0.035 0.081 5 NSPP G -0.377 0.009 0.086 -0.222 0.655 0.540 0.041 -0.417 0.087 -0.028 0.331** 0.052 -0.047 0.028 0.004 0.004 0.004 -0.121 0.036 0.001 -0.005 0.331** P -0.037 -0.004 -0.001 0.013 0.007 0.050 -0.003 0.138 0.019 0.031 0.234** 0.007 0.008 0.000 -0.001 -0.001 0.006 -0.005 0.010 -0.005 0.001 0.234** 6 NMPP G 0.002 -0.005 -0.131 -0.074 0.144 2.447 0.079 -0.673 -0.003 -0.012 0.640** 0.095 -0.073 -0.282 -0.007 0.014 -0.029 -0.032 -0.495 -0.020 -0.307 0.640** P -0.002 0.000 0.003 0.005 0.002 0.233 -0.006 0.255 -0.001 0.011 0.512** 0.016 0.008 0.012 0.003 -0.002 -0.035 -0.002 -0.173 0.086 0.101 0.512** 7 NIMPP G -0.042 0.029 0.011 -0.069 0.171 1.225 0.157 -0.323 0.087 -0.024 0.387** -0.097 0.198 -0.367 -0.004 0.020 -0.018 0.003 -0.291 -0.016 -0.266 0.387** P -0.004 -0.005 -0.000 0.004 0.001 0.105 -0.013 0.153 0.015 0.013 0.285** -0.014 -0.023 0.021 0.002 -0.004 -0.023 -0.000 -0.095 0.067 0.086 0.285** 8 PYP G 0.237 -0.030 -0.366 -0.024 0.298 1.799 0.055 -0.915 0.105 0.022 0.997** 0.495 -0.021 -0.445 0.000 0.026 -0.004 -0.048 -0.140 -0.003 -0.045 0.997** P 0.023 0.002 0.004 0.001 0.002 0.113 -0.004 0.524 0.023 -0.025 0.732** 0.068 0.001 0.025 -0.000 -0.005 -0.004 -0.002 -0.043 0.013 0.014 0.732** 9 SMKP G 0.058 -0.085 -0.148 0.034 0.138 -0.015 0.033 -0.233 0.414 -0.035 0.407** 0.231 0.092 -0.347 0.010 0.005 0.015 0.037 0.125 0.004 0.074 0.407** P 0.005 0.008 0.002 -0.001 0.001 -0.003 -0.002 0.108 0.113 0.038 0.334** 0.036 -0.008 0.021 -0.004 -0.001 0.022 0.002 0.040 -0.016 -0.025 0.334** 10 SHP G -0.297 0.027 0.169 -0.177 0.129 0.204 0.026 0.140 0.102 -0.141 0.172 -0.106 0.142 0.043 0.001 -0.025 0.004 -0.022 -0.012 -0.006 -0.027 0.172 P -0.033 -0.000 -0.002 0.007 0.001 0.014 -0.001 -0.070 0.023 0.189 0.122 -0.013 -0.015 -0.004 -0.001 0.004 0.004 -0.001 -0.013 0.024 0.010 0.122 11 HSW G 0.252 -0.114 -0.426 0.029 0.033 0.224 -0.015 -0.437 0.092 0.015 0.464** 1.036 -0.002 -0.201 0.010 0.016 0.003 -0.067 -0.053 -0.000 0.071 0.464** P 0.031 0.010 0...…”