Association pattern among yield and its related attributes for early peas (Pisum sativum L.)

Paper Details

Research Paper 01/03/2020
Views (713)
current_issue_feature_image
publication_file

Association pattern among yield and its related attributes for early peas (Pisum sativum L.)

Muhammad Najeebullah, Mudassar Iqbal, Kashif Nadeem, Muhammad Iqbal, Saeed Ahmad Shah Chishti, Ghazanfar hammad, Rana Husnain Shabbir, Ghulam Nabi, Muhammad Zubair, Zeeshan Qadeer, Umbreen Shahzad
Int. J. Biosci. 16(3), 83-87, March 2020.
Copyright Statement: Copyright 2020; The Author(s).
License: CC BY-NC 4.0

Abstract

A study was conducted in Vegetable Research Institute, Faisalabad, Pakistan during 2017-18 and 2018-19 to estimate the genetic variability and correlation among eight different genotypes of pea (Meteor, 9800-5, Pea-2009, 2001-20, Samrina zard, Olympia, 9200-10 and 2001-40). These accessions were sown in RCBD triplicate. Data was collected on morphological parameters i.e. days to 50% flowering, 100-seed weight, yield per plot, plant height, pods per plant, pod length, seed per pod and pod width. The analysis of genetic variability showed high values in genotypic coefficient of variation (GCV 22.42 & 17.81) for pods per plant in bi-annual study of yield related attributes. Maximum genetic advance (36.76% & 20.87%) was also found for pods per plant among all traits in early pea lines. Positive and highly significant correlation (0.8393 and 0.8846) was found with 100 seed weight and pod width during consecutive years (2017-2019). Maximum heritability was found for Pod length (97.95) and days to 50% flowering (96.64) during sequential years. It is concluded that these attributes could be used as selection criteria for the development of early bearing and high yielding varieties.

Bastianelli D, Grosjean F, Peyronnet C, Duparque M, Regnier JM. 1998. Feeding value of Pea (Pisum sativum L.) chemical composition of different categories of pea. Animal Sciences 67, 609-619.

Burton GW. 1952. Quantitative inheritance in grasses. Proceeding 6th International Grassland. Congress 1, 277-283.

Coyne CJ, McGee RJ, Redden RJ, Ambrose MJ, Furman BJ, Miles CA. 2011. Genetic adjustment to changing climates: Pea, In: Crop adaptation to climate change. Wiley Blackwell Chichester UK.238-250.

Fikreselassie M. 2012. Traits in field pea (Pisum sativum L.) genotypes. Pakistan Journal of Biological Sciences 15, 358-366.

Iqbal M, Bashir I, Iqbal M, Nadeem ALateef K, Chishti SAS, Niaz S. 2015.  Association pattern among yield and its related attributes in Peas (PisumSativum L.). Journal of Agriculture Research, 53(2), 173-177.

Nawab NN, Subhani GM, Mahmood K, Shakil Q, Saeed A. 2008. Genetic variability, correlation and path analysis studies in garden pea (Pisumsativum L.). Journal of Agriculture Research. 46, 333-340.

Phillips DA. 1980. Efficiency of symbiotic nitrogen fixation in legumes. Annual Review of Plant Physiology 31, 29-49.

Reid JB, Ross JJ. 2011. Mendel’s genes: Toward a full molecular characterization. Genetics 189, 3-10.

Singh JD, Singh IP. 2005. Studies on correlation and path analysis in field pea (PisumsativumL.).  National Journal of Plant improvement 1, 59-60.

Steel RGD, Torrie JH, Dicky DA. 1997. Principles and procedures of statistics – A biometrical approach, 3rd ed. McGraw Hill Book International Co, Singapore.

Tiwari G, Lavanya GR. 2012. Genetic variability, character association and component analysis in F4 generation of field pea (Pisum sativum var. arvense L.). Karnataka Journal of Agriculture Scienece 25, 173-175.

Related Articles

Modelling the current and future distribution of Okoubaka aubrevillei Pellegr. & Normand under climate change scenarios in Côte d’Ivoire

Sié Fernand Pacôme Ouattara, Franck Placide Junior Pagny, Kouassi Bruno Kpangui, Int. J. Biosci. 27(5), 237-246, November 2025.

Proximate analysis of pelleted sorghum-based feeds as substitute for corn

I. I. Juan S. Daquioag, Michael M. Uy, Int. J. Biosci. 27(5), 232-236, November 2025.

Evolution of the weight of carcasses and offal of Cobb 500 broiler chickens according to the age of slaughter

Soro Soronikpoho, Kouadio Kouakou Parfait, Kouassi Koffi Dongo, Brou Gboko Konan Gatien, Int. J. Biosci. 27(5), 225-231, November 2025.

Agronomic performance of the newly pruned coffee trees at the CSU Lal-lo old coffee plantation

Maribel L. Fernandez, Florante Victor M. Balatico, Ronel A. Collado, Int. J. Biosci. 27(5), 217-224, November 2025.

A comprehensive review and meta-analysis on Alzheimer’s genetics: Exploring the genetic architecture and its application in future genomic medicine

Shafee Ur Rehman, Shabeer Khan, Muhammad Usman, Sakarie Khadar Ibrahim, Int. J. Biosci. 27(5), 204-216, November 2025.

Effect of aqueous leaf extract of Senna occidentalis (Fabaceae) on induced arrhythmia in Rabbits

Obrou Jean Luc Amiltone, Nagalo Ousmane, Mossoun Mossoun Arsène, Abo Kouakou Jean-Claude, Int. J. Biosci. 27(5), 198-203, November 2025.

Targeting proteolytic enzymes in the hemoglobin degradation pathway to inhibit Plasmodium falciparum: An in silico approach

Sethupathi Virumandi, Elumalai Balamurugan, Aakash Ganesan, Sowmiya Ganesan, Srinidhi Raveenthiran, Int. J. Biosci. 27(5), 182-197, November 2025.

Composition and variation of milk from Djallonké goats fed with different diets in Burkina Faso

Alice Gisèle Sidibé-Anago, Vinsoun Millogo, Assouan Gabriel Bonou, Remadji Rufine Djikoldingam, Mariétou Sissao, Michel Kéré, Guy Apollinaire Mensah, Int. J. Biosci. 27(5), 173-181, November 2025.