Nonparametric approach to multitrait selection for yield in groundnut (Arachis hypogaea L.).

Area of Science:

• Agronomy
• Plant Physiology
• Genetics

Background:

• Groundnut (Arachis hypogaea L.) yield is influenced by nitrogen fixation and pod development.
• Accurate grading of relative yield performance is crucial for breeding programs.

Purpose of the Study:

• To evaluate eight characters for their effectiveness in grading the relative yield performance of diverse groundnut lines.
• To identify optimal character combinations for predicting yield status.

Main Methods:

• Assigned high/low yield status based on pod yield, shelling percentage, and 100-kernel weight.
• Examined 17 character combinations for yield status identification.
• Utilized multiple regression analysis to assess character contributions to pod yield variation.

Main Results:

• Nitrogenase activity, alone or with nitrogen percent/shoot weight, correctly identified yield status in 77% of lines.
• Nitrogen percent plus leaf area explained 75% of variation in pod yield.
• Nodule mass, nitrogenase activity, and leaf area also contributed to yield variation in other combinations.

Conclusions:

• Crop physiological traits like leaf area and nitrogen percent are profitable for selecting relative yield performance in groundnut.
• Integrating these traits can enhance the efficiency of groundnut breeding programs.