Identification of potential agronomic lines among Nigerian pigeonpea (Cajanus cajan L. Millsp.) accessions for crop improvement

被引:0
作者
Amusa, Oluwafemi Daniel [1 ]
Okpanachi, Fidelis Etuh [1 ]
Onyeka, Samuel Chimezie [1 ]
Samson, Jonathan Damilola [1 ]
Olatunji, Elizabeth Oluwaseun [1 ]
Ogunkanmi, Liasu Adebayo [1 ]
Oboh, Bolanle Olufunmilayo [1 ]
机构
[1] Univ Lagos, Akoka, Nigeria
来源
REVISTA DE CIENCIAS AGRICOLAS | 2022年 / 39卷 / 0E期
关键词
Agronomic line; Cajanus cajan; crop improvement; Nigeria; pigeonpea; selection; LANDRACES; DIVERSITY;
D O I
10.22267/rcia.202239E.192
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Pigeonpea (Cajanus cajan (L.) Millsp.) is a grain legume crop from the 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 is needed to identify resilient germplasm, varieties or accessions to improve agronomic performance. This study assessed the morphological variability among selected accessions of Nigerian pigeonpea to identify potential lines for agronomic improvement. A total of 52 Nigerian pigeonpea accessions were evaluated using 10 qualitative and 13 quantitative morphological traits. They were planted using a completely randomised 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 pigeonpea accessions 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 include days 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 study identified several potential accessions based on performance that can be selected for multilocational evaluations and crop improvement.
引用
收藏
页码:4 / 20
页数:17
相关论文
共 21 条
  • [1] Abebe Belete, 2022, ScientificWorldJournal, V2022, P4873008, DOI 10.1155/2022/4873008
  • [2] Adeboyegun K., 2020, ASIAN J BIOCH GENETI, V4, P20, DOI [10.9734/AJBGMB/2020/v4i330107, DOI 10.9734/AJBGMB/2020/V4I330107]
  • [3] [Anonymous], 2018, EUROPEAN SCI J, DOI [10.19044/esj.2018.v14n9p184, DOI 10.19044/ESJ.2018.V14N9P184]
  • [4] Utilization and farmers' knowledge on pigeonpea diversity in Benin, West Africa
    Ayenan, Mathieu Anatole Tele
    Danquah, Agyemang
    Ahoton, Leonard Essehou
    Ofori, Kwadwo
    [J]. JOURNAL OF ETHNOBIOLOGY AND ETHNOMEDICINE, 2017, 13
  • [5] Development of genic-SSR markers by deep transcriptome sequencing in pigeonpea [Cajanus cajan (L.) Millspaugh]
    Dutta, Sutapa
    Kumawat, Giriraj
    Singh, Bikram P.
    Gupta, Deepak K.
    Singh, Sangeeta
    Dogra, Vivek
    Gaikwad, Kishor
    Sharma, Tilak R.
    Raje, Ranjeet S.
    Bandhopadhya, Tapas K.
    Datta, Subhojit
    Singh, Mahendra N.
    Bashasab, Fakrudin
    Kulwal, Pawan
    Wanjari, K. B.
    Varshney, Rajeev K.
    Cook, Douglas R.
    Singh, Nagendra K.
    [J]. BMC PLANT BIOLOGY, 2011, 11
  • [6] Esan V, 2018, J EXP AGR INT, V21, P1
  • [7] Analysis of the current situation and future outlooks for pigeon pea (Cajanus Cajan) production in Oyo State, Nigeria: A Markov Chain model approach
    Fatokimi, Esther Olawumi
    Tanimonure, Victoria Adeyemi
    [J]. JOURNAL OF AGRICULTURE AND FOOD RESEARCH, 2021, 6
  • [8] IBPGR and ICRISAT, 1993, DESCR PIG CAJ CAJ L
  • [9] Kassambara A., 2017, Multivariate Analysis I Practical Guide To Cluster Analysis in R Unsupervised Machine Learning
  • [10] Kimaro Didas, 2021, Agriculture and Natural Resources, V55, P23, DOI 10.34044/j.anres.2021.55.1.04