Use of Trained Convolutional Neural Networks for Analysis of Symptoms Caused by Botrytis fabae Sard
Pigeonpea(Cajanus cajan(L.) Millsp.)is a grain legume crop fromthe tropics and subtropics cultivated for its highly nutritious seeds. Relatively low yields have been observed among African accession with little information on germplasm performance.Therefore, it isneeded to identify resilie...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universidad de Nariño
2022-12-01
|
| Series: | Revista de Ciencias Agrícolas |
| Subjects: | |
| Online Access: | https://doi.org/10.22267/rcia.202239E.192 |
| Summary: | Pigeonpea(Cajanus cajan(L.) Millsp.)is a grain legume crop fromthe tropics and subtropics cultivated for its highly nutritious seeds. Relatively low yields have been observed among African accession with little information on germplasm performance.Therefore, it isneeded to identify resilient germplasm, varieties or accessions to improve agronomic performance.This study assessedthe morphologicalvariability among selected accessions of Nigerian pigeonpeato identify potential lines foragronomic improvement.A total of 52Nigerian pigeonpeaaccessions were evaluated using 10qualitative and 13 quantitativemorphological traits.They were planted using a completelyrandomised design. Yield performance, trait correlation, principal component(PC),and cluster analysis were used to identify potential breeding lines.The study revealed a wide variability among pigeonpeaaccessions with both qualitative and quantitative traits. The 52 pigeonpeas were clustered into three major groups. Four principal components with eigenvalue > 1 accounted for 68.95% of the total variation observed. The first PC accounted for 30.13% with yield components, which includedays to 50% flowering, plant height, days to 50% maturity,and vigour at 50% flowering as major contributors.These traits also showed strong significant correlations between themselves.Hence, they can be improved simultaneously. The studyidentified several potential accessions based on performancethat can be selected for multilocational evaluations and crop improvement. |
|---|---|
| ISSN: | 0120-0135 2256-2273 |