Indirect Versus Direct Selection of Adaptable Genotypes of Coffea canephora for Drought Stress and Non-Stress Conditions

被引:6
|
作者
Anim-Kwapong, E. [1 ]
Anim-Kwapong, G. J. [1 ]
Adomako, B. [1 ]
机构
[1] Cocoa Res Inst, New Tafo Akim, Ghana
关键词
Drought-stress; adaptability; Coffea canephora; indirect selection; cluster analysis; agronomic traits;
D O I
10.1080/15427528.2011.569474
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Improving breeding strategies for adaptation to water-deficit stress is an important challenge to increasing coffee yields. In a nine-year experiment, 18 genotypes were tested under drought-stress and non-stress conditions to select adaptable genotypes to drought stress. Efficiency of indirect selection based on agronomic traits related to drought-stress was also assessed relative to direct selection based on yield. Drought stress significantly limited fruit-set and yields by 51-75% in all 18 genotypes. Clustering the genotypes based on seven-year average yields under stress and non-stress conditions and their drought susceptibility index (DSI) resulted in the direct selection of eight generally adaptable genotypes. These were characterized by low DSI and high yields in drought-stress and non-stress environments. These genotypes should serve as materials for breeding for drought tolerance or for direct utilization as planting material under drought-stress and non-stress conditions. The first three-year average yield was 75% as efficient as the seven-year average yield; the last four-to seven-year yields gave similar results. Indirect selection by clustering of the genotypes according to span (crown diameter) and fruit set was 75% as efficient as direct selection based on seven-year average yields. The efficiency of the first three-year yield as well as span and fruit set in selecting adaptable genotypes, coupled with the determination of these traits at the early stages of the growing cycle, further demonstrates that genotypes adaptable to water-deficit stress can be selected in the early stages of the breeding program.
引用
收藏
页码:356 / 370
页数:15
相关论文
共 47 条
  • [41] Effects of Native and Non-Native Arbuscular Mycorrhizal Fungi on the Growth of Dodonaea Viscosa Under Drought Stress Conditions
    Wang, Xuemei
    Yan, Bangguo
    Shi, Liangtao
    Zhao, Guang
    Liu, Gangcai
    JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION, 2024, 24 (02) : 2648 - 2664
  • [42] Selection of M5 mutant lines of wheat (Triticum aestivum L.) for agronomic traits and biomass allocation under drought stress and non-stressed conditions
    Makebe, Athenkosi
    Shimelis, Hussein
    Mashilo, Jacob
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [43] GENETIC AND MULTIVARIATE PHENOTYPIC ANALYSES OF SOME SELECTION INDICES IN PISTACHIO (Pistacia vera L.) CULTIVARS UNDER DROUGHT STRESS CONDITIONS
    Hasheminasab, Hojjat
    Assad, Mohammad Taghi
    GENETIKA-BELGRADE, 2017, 49 (02): : 705 - 715
  • [44] Recommendation of the Appropriate Treatments Using Carbon Nanotubes in Drought Stress Conditions in Maize Genotypes (Zea mays L) in Preliminary Study Based on Treatment x Trait
    Mousavi, Seyed Mohammad Reza
    Omidi, Heshmat
    Keshavarzi, Mohammad Hosein Bijeh
    Shojaei, Seyed Habib
    JOURNAL OF PLANT GROWTH REGULATION, 2025,
  • [45] Key physiological traits for drought tolerance identified through phenotyping a large set of slicing cucumber (Cucumis sativus L.) genotypes under field and water-stress conditions
    Das, Anjan
    Munshi, A. D.
    Raju, Dhandapani
    Kumar, Sudhir
    Singh, Dharmendara
    Talukdar, Akshay
    Hongal, Dhananjay
    Iquebal, Mir Asif
    Kumar, Sandeep
    Bhattacharya, R. C.
    Ranjan, Pragya
    Ghannoum, Oula
    Behera, T. K.
    Dey, S. S.
    GENETIC RESOURCES AND CROP EVOLUTION, 2024, 71 (05) : 1855 - 1868
  • [46] Key physiological traits for drought tolerance identified through phenotyping a large set of slicing cucumber (Cucumis sativus L.) genotypes under field and water-stress conditions
    Anjan Das
    A. D. Munshi
    Dhandapani Raju
    Sudhir Kumar
    Dharmendara Singh
    Akshay Talukdar
    Dhananjay Hongal
    Mir Asif Iquebal
    Sandeep Kumar
    R. C. Bhattacharya
    Pragya Ranjan
    Oula Ghannoum
    T. K. Behera
    S. S. Dey
    Genetic Resources and Crop Evolution, 2024, 71 : 1855 - 1868
  • [47] Selection of Stable Reference Genes for Quantitative Real-Time PCR on Paeonia ostii T. Hong et J. X. Zhang Leaves Exposed to Different Drought Stress Conditions
    Luan, Yuting
    Xu, Cong
    Wang, Xiaoxiao
    Zhao, Daqiu
    Tao, Jun
    PHYTON-INTERNATIONAL JOURNAL OF EXPERIMENTAL BOTANY, 2022, 91 (05) : 1045 - 1059