Identification of Some Walnut Genotypes in Lorestan Province of Iran and Selection of 54 Superior Genotypes

Identification and selection of superior genotypes is the first step in walnut breeding programs. For identifying superior genotypes in Lorestan province, Iran, 35000 seedling genotypes were evaluated during 2008-2009. 29 Phenological traits were evaluated using IPGIRI descriptors in 288 selected se...

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Published inTulīd va Farāvarī-i Maḥṣūlāt-i Zirā̒ī va Bāghī Vol. 5; no. 15; pp. 25 - 36
Main Authors A. Mohammadi, K. Vahdati, V. Abdousi, F. najafAbadi, M. J. Mahmoudi
Format Journal Article
LanguagePersian
Published Isfahan University of Technology 01.06.2015
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Summary:Identification and selection of superior genotypes is the first step in walnut breeding programs. For identifying superior genotypes in Lorestan province, Iran, 35000 seedling genotypes were evaluated during 2008-2009. 29 Phenological traits were evaluated using IPGIRI descriptors in 288 selected seedling genotypes. Finally 54 promising genotypes with 10 major phenological traits were evaluated and classified to five groups. Based on the results, The first group included B17 alone as a late leafing genotype. The second group included A11, J14, K20, H19, M13, J1, B14, E14, E6, G17, M7, O9, B7, L6, L10, F12, D6, J15, J16, N5 and N15 genotypes with high kernel percentage, very bright kernel colors, less shell thickness and medium basal fruit pore. M9 with the highest kernel percent among all of the genotypes and 80% of lateral bearing, closed basal fruit pore, less shell thickness and high fruit and kernel weight was classified in another groupe. A7, C5, N3, N18, A17, D1, N14, D4, I4, J6, K17, N4, N19, C10, E13, N13 and N16 genotypes with medium to high fruit diameter, less shell thickness, medium fruit and kernel weight and kernel percentage were classified in the next group. The fifth group included 10 promising genotypes consisting A1, A2, C12, D10, D11, D13, F3, D17, A3, N7, I13, J7, K9 and N11 with quite late leafing and lateral fruit bearing of more than 90% .
ISSN:2251-8517