Grain yield performance, correlation, and luster analysis in elite bread wheat (Triticum aestivum L.) lines

• Autorzy: Arain S.M. , Sial M.A. , Jamali K.D. , Laghari K.A.

Warianty tytułu

PL

Wydajność plonu ziarna, korelacja i analiza skupień w elitarnych liniach pszenicy (Triticum aestivum L.)

• Języki publikacji: EN

Abstrakty

EN

Wheat is a leading cereal, playing a crucial role in feeding the hungry world and improving global food security. The present study was undertaken to comparatively analyze the extent of genetic diversity for various quantitative traits among the wheat material exotic to Pakistan, received from CIMMYT (The International Maize and Wheat Improvement Center), Mexico. Nineteen advanced lines from the Semi-Arid Wheat Yield Trial (SAWYT) were studied along with a local cultivar, considered a control (NIA-Amber). Data were recorded on nine important agro-morphic traits. The compared genotypes differed significantly (p ≤ 0.05) in the studied traits, where line V6 produced the highest mean grain yield (6,049 kg ha−1) and maximum 1,000-grain weight (45.0 g). Other lines, V19, V17, and V2, also showed superiority in yield (5,723, 5,150, and 5,067 kg ha−1, respectively). Days to heading established a significant positive association with days to maturity (r = 0.7995), plant height (r = 0.3168), spike length (r = 0.2696), and spikelets per spike (r = 0.4391). The important yield associated trait, 1,000-grain weight, had a highly significant positive correlation (r = 0.6833) with grain yield. Cluster analysis for various quantitative traits showed important information about genetic diversity for the studied traits among wheat genotypes. Hence, selection of genotypes for higher grain yield based on these traits could be useful for future breeding.

PL

Pszenica (Triticum aestivumL.) jest jednym z najważniejszych zbóż, odgrywającym kluczową rolę w zaspokajaniu potrzeb żywnościowych ludności i poprawie globalnego bezpieczeństwa żywnościowego. Niniejsze badania podjęto w celu przeprowadzenia analizy porównawczej stopnia różnorodności genetycznej wybranych cech ilościowych u linii pszenicy egzotycznych dla Pakistanu, otrzymanymi z Meksyku (CIMMYT; The International Corn and Wheat Impro- vement Center). Dziewiętnaście linii pochodzących z Semi-Arid Wheat Yield Trial (SAWYT) badano razem z lokalną odmianą NIA-Amber, przyjętą jako kontrola. Dane rejestrowano dla dziewięciu ważnych cech agro-morfologicznych. Porównywane genotypy różniły się istotnie (p≤ 0,05) pod względem badanych cech. Linia V6 dała najwyższy średni plon ziarna (6049 kg ha−1) i największą masę 1000 ziarniaków (45,0 g). Linie V19, V17 i V2 również wykazały wysoki plon (odpowiednio 5723, 5150 i 5067 kg ha−1). Liczba dni do kłoszenia była istotnie dodatnio skorelowana z wysokością roślin (r= 0,7995), dniami do dojrzałości (r= 0,3168), długością kłosa ( r= 2696) i liczbą kłosków w kłosie (r= 0,4391). Ważna cecha wpływająca na plon – masa 1000 ziarniaków – była wysoce dodatnio skorelowana z plonem ziarna (r= 0,6833). Analiza skupień dla różnych cech ilościowych dostarczyła ważnych informacji o różnorodności genetycznej badanych cech między genotypami pszenicy, dlatego też wybór genotypów dla uzyskania wyższego ziarna w oparciu o te cechy może być przydatny do przyszłej hodowli.

• Wydawca: -
• Czasopismo: Acta Agrobotanica
• Rocznik: 2018
• Tom: 71
• Numer: 4
• Opis fizyczny: Article: 1747 [8 p.], fig.,ref.

Twórcy

autor

Arain S.M.

• Plant Breeding and Genetics Division, Nuclear Institute of Agriculture (NIA), Tando Jam, PO Box 70060, Pakistan

autor

Sial M.A.

• Plant Breeding and Genetics Division, Nuclear Institute of Agriculture (NIA), Tando Jam, PO Box 70060, Pakistan

autor

Jamali K.D.

• Plant Breeding and Genetics Division, Nuclear Institute of Agriculture (NIA), Tando Jam, PO Box 70060, Pakistan

autor

Laghari K.A.

• Plant Breeding and Genetics Division, Nuclear Institute of Agriculture (NIA), Tando Jam, PO Box 70060, Pakistan

Bibliografia

• Braun H, Atlin G, Payne T. Multi-location testing as a tool to identify plant response to global climate change. In: Reynolds CRP, editor. Climate change and crop production, London: CABI; 2010. https://doi.org/10.1079/9781845936334.0115
• Statista [Internet]. 2018 [cited 2018 Oct 1]. Available from: https://www.statista.com/statistics/267268/production-of-wheat-worldwide-since-1990/
• Ziska LH, Bunce JA, Shimono H, Gealy DR, Baker JT, Newton PCD, et al. Food security and climate change: on the potential to adapt global crop production by active selection to rising atmospheric carbon dioxide. Proc Biol Sci. 2012;279:4097–4105. https://doi.org/10.1098/rspb.2012.1005
• Pingali PL. Green revolution: impacts, limits, and the path ahead. Proc Nat Acad Sci USA. 2012;109(31):12302–12308. https://doi.org/10.1073/pnas.0912953109
• Farooq J, Khaliq I, Khan AS, Pervez MA. Studying the genetic mechanism of some yield contributing traits in wheat (Triticum aestivum L.) Int J Agric Biol. 2010;12:241–246.
• Singh BN, Vishwakarma SR, Singh VK. Character association and path analysis in elite lines of wheat (Triticum aestivum L.). Plant Archives. 2010;10(2):845–847.
• Arain S, Jamali KD, Naqvi MH, Soomro AM, Arain MA, Ali SA. Genetic diversity for agronomic characters and their association with grain yield components in durum wheat. In: Proceedings of the International Wheat Seminar; 2006 Feb 20–22; Faisalabad, Pakistan. Faisalabad: Wheat Research Institute; 2006. p. 56–60.
• Dixet P, Dubey DK. Path analysis in lentil (Lens culinaris Med.). Lens Newsletter. 1984;11:15–17.
• Gashaw AH, Mohammed H. Selection criterion for improved grain yields in Ethiopian durum wheat genotypes. Afr Crop Sci J. 2007;15(1):25–31.
• Li W, Gill BS. Genomics for cereal improvement. In Gupta PK, Varshney RK, editors. Cereal genomics. Dordrecht: Kluwer; 2004. p. 585–634.
• Jamali KD, Ali SA. Yield and yield components with relation to plant height in semi-dwarf wheat. Pak J Bot. 2008;40(4):1805–1808.
• Gupta PK, Rustgi S, Kumar N. Genetic and molecular basis of grain size and grain number and its relevance to grain productivity in higher plants. Genome. 2006;49:565–571. https://doi.org/10.1139/g06-063
• Majumder DAN, Shamsuddin AKM, Kabir MA, Hassan L. Genetic variability, correlated response and path analysis of yield and yield contributing traits of spring wheat. Journal of the Bangladesh Agricultural University. 2008;6(2):227–234.
• Mohammadi M, Sharifi P, Karimizadeh R, Kazem M, Shefazadeh MK. Relationships between grain yield and yield components in bread wheat under different water availability (dryland and supplemental irrigation conditions). Not Bot Horti Agrobot Cluj Napoca. 2012;40(1):195–200. https://doi.org/10.15835/nbha4017350
• Awan FK, Khurshid MY, Afzal O, Ahmed M, Chaudhry AN. Agro-morphological evaluation of some exotic common bean (Phaseolus vulgaris L.) genotypes under rainfed conditions of Islamabad, Pakistan. Pak J Bot. 2014;46(1):259–264.
• Yadav SK, Singh AK, Malik R. Genetic diversity analysis based on morphological traits and microsatellite markers in barley (Hordeum vulgare). Indian Journal of Agricultural Sciences. 2015;85(10):37–44.
• Ali MA, Nawab NN, Rasool G, Saleem M. Estimates of variability and correlations for quantitative traits in Cicer arietinum L. Journal of Agricultural and Social Sciences. 2013;4(4):177–179.
• Gomez KA, Gomez AA. Statistical procedures for agricultural research. 2nd ed. New York, NY: John Wiley & Sons Inc.; 1984.
• Snedecor GW, Cochran WG. Statistical methods. 7th ed. Ames, IA: Iowa State University; 1981.
• Kovach WL. MVSP – a Multivariate Statistical Package for Windows, version 3.1. Pentraeth: Kovach Computing Services; 1999.
• Jan S, Mohammad F, Khan FU. Genetic potential and heritability estimates of yield traits F3 segregating populations of bread wheat. International Journal of Environment. 2015;4(2):106–115. https://doi.org/10.3126/ije.v4i2.12630
• Mondal S, Singh RP, Mason ER, Huerta-Espino J, Autrique E, Joshi AK. Grain yield, adaptation and progress in breeding for early-maturing and heat-tolerant wheat lines in South Asia. Field Crops Res. 2016;192:78–85. https://doi.org/10.1016/j.fcr.2016.04.017
• Kaur C. Performance of wheat varieties under late and very late sowing conditions. Int J Curr Microbiol Appl Sci. 2017;6(9):3488–3492. https://doi.org/10.20546/ijcmas.2017.609.428
• Kumar R, Nand V, Doharey RK, Verma SK, Kumari A. Effect of seed rate and herbicides on yield attributes and yield of late sown wheat (Triticum aestivum L.). Int J Curr Microbiol Appl Sci. 2018;7:2582–2589.
• Patil MS, Manaka BS, Chavan VM, Kachole UG. Diallel analysis in bread wheat. Indian J Genet Plant Breed. 1995;56:320–324.
• Alghabari F, Lukac M, Jones HE, Gooding M J. Effect of Rht alleles on the tolerance of wheat grain set to high temperature and drought stress during booting and anthesis. J Agron Crop Sci. 2014;200:36–45. https://doi.org/10.1111/jac.12038
• Khan I, Mohammad F, Khan FU. Estimation of genetic parameters of yield and yield related traits in wheat genotypes under rainfed conditions. International Journal of Environment. 2015;4(2):193–205.
• Iftikhar R, Khaliq I, Ijaz M, Rashid MAR. Association analysis of grain yield and its components in spring wheat (Triticum aestivum L.). American-Eurasian Journal of Agricultural and Environmental Sciences. 2012;12(3):389–392.
• Sokoto MB, Abubakar IU, Dikko AU. Correlation analysis of some growth, yield, yield components and grain quality of wheat (Triticum aestivum L.). Nigerian Journal of Basic and Applied Sciences. 2012;20(4):349–356.
• Ali MA, Nawab NN, Abbas A, Zulkiffar M, Sajjad M. Evaluation of selection criteria in Cicer arietinum L. using correlation coefficients and path analysis. Aust J Crop Sci. 2009;3:65–70.
• Fellahi Z, Hannachi A, Bouzerzour H, Boutekrabt A. Correlation between traits and path analysis coefficient for grain yield and other quantitative traits in bread wheat under semi arid conditions. Journal of Agriculture and Sustainability. 2013;3(1):16–26.
• Kashif M, Khaliq I. Heritability, correlation and path coefficient analysis for some metric traits in wheat. International Journal of Agriculture and Biology. 2004;6(1):138–142.
• Khokhar MI, Hussain M, Zulkiffal M, Ahmad N, Sabar W. Correlation and path analysis for yield and yield contributing characters in wheat (Triticum aestivum L.). African Journal of Plant Science. 2010;4(11):464–466.
• Gelalcha S, Hanchinal RR. Correlation and path analysis in yield and yield components in spring bread wheat (Triticum aestivum L.) genotypes under irrigated condition in Southern India. Afr J Agric Res. 2013;8(24):3186–3192.
• Akram Z, Ajmal S, Munir M. Estimation of correlation coefficient among some yield parameters of wheat under rainfed conditions. Pak J Bot. 2008;40(4):1777–1781.
• Ghafoor A, Sultana T, Rizvi ZF. Genetic diversity in blackgram [Vigna mungo (L.) hepper] for randomly amplified polymorphic DNA (RAPD) markers. Pak J Bot. 2012;44:473–478.

Identyfikatory

DOI

10.5586/aa.1747