Literature DB >> 24166317

Improving chickpea yield by incorporating resistance to ascochyta blight.

K B Singh1, M V Reddy.   

Abstract

Ascochyta blight [Ascochyta rabiei (Pass.) Lab.] is the most destructive disease of chickpea (Cicer arietinum L.), but it can be managed effectively by the use of resistant cultivars. Therefore, a breeding programme was initiated during 1977-78 at ICARDA, Syria, to breed blight-resistant, high-yielding chickpeas with other desirable agronomic traits. Crosses were made in main season at Tel Hadya, Syria, and the F1s were grown in the off season at Terbol, Lebanon. The F2, F4 and F5 generations were grown in a blight nursery in the main season where blight epidemic was artificially created. The plants and progenies were scored for blight resistance and other traits. The F3 and F6 generations were grown in the off season under normal day length to eliminate late-maturing plants. The pedigree method of breeding was followed initially, but was later replaced by the F4-derived family method. The yield assessment began with F7 lines, first at ICARDA sites and later internationally. A total of 1584 ascochyta blight-resistant chickpea lines were developed with a range of maturity, plant height, and seed size not previously available to growers in the blight-endemic areas in the Mediterranean region. These included 92 lines resistant to six races of the ascochyta pathogen, and 15 large-seeded and 28 early maturity lines. New cultivars produced 33% more seed yield than the original resistant sources. The yield of chickpea declined by 340 kg ha(-1), with an increase in blight severity by one class on a 1-9 scale, reaching zero yield with the 8 and 9 classes. Development of blight-resistant lines made the introduction of winter sowing possible in the Mediterranean region with the prospect of doubling chickpea production. Twenty three cultivars have been released so far in 11 countries.

Entities:  

Year:  1996        PMID: 24166317     DOI: 10.1007/BF00224552

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  7 in total

1.  Detection of two quantitative trait loci for resistance to ascochyta blight in an intra-specific cross of chickpea (Cicer arietinum L.): development of SCAR markers associated with resistance.

Authors:  M Iruela; J Rubio; F Barro; J I Cubero; T Millán; J Gil
Journal:  Theor Appl Genet       Date:  2005-11-17       Impact factor: 5.699

2.  Mapping quantitative trait loci in chickpea associated with time to flowering and resistance to Didymella rabiei the causal agent of Ascochyta blight.

Authors:  Judith Lichtenzveig; David J Bonfil; Hong-Bin Zhang; Dani Shtienberg; Shahal Abbo
Journal:  Theor Appl Genet       Date:  2006-09-22       Impact factor: 5.699

3.  A BAC/BIBAC-based physical map of chickpea, Cicer arietinum L.

Authors:  Xiaojun Zhang; Chantel F Scheuring; Meiping Zhang; Jennifer J Dong; Yang Zhang; James J Huang; Mi-Kyung Lee; Shahal Abbo; Amir Sherman; Dani Shtienberg; Weidong Chen; Fred Muehlbauer; Hong-Bin Zhang
Journal:  BMC Genomics       Date:  2010-09-17       Impact factor: 3.969

4.  Pathotype-specific genetic factors in chickpea (Cicer arietinum L.) for quantitative resistance to ascochyta blight.

Authors:  Seungho Cho; Weidong Chen; Fred J Muehlbauer
Journal:  Theor Appl Genet       Date:  2004-05-14       Impact factor: 5.699

5.  Fast track genetic improvement of ascochyta blight resistance and double podding in chickpea by marker-assisted backcrossing.

Authors:  B Taran; T D Warkentin; A Vandenberg
Journal:  Theor Appl Genet       Date:  2013-03-06       Impact factor: 5.699

6.  Effects of Temperature Stresses on the Resistance of Chickpea Genotypes and Aggressiveness of Didymella rabiei Isolates.

Authors:  Seid Ahmed Kemal; Sanae Krimi Bencheqroun; Aladdin Hamwieh; Muhammad Imtiaz
Journal:  Front Plant Sci       Date:  2017-09-20       Impact factor: 5.753

7.  A kabuli chickpea ideotype.

Authors:  Tuba Eker; Duygu Sari; Hatice Sari; Hilal Sule Tosun; Cengiz Toker
Journal:  Sci Rep       Date:  2022-01-31       Impact factor: 4.379

  7 in total

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