Affiliation:
1. Genetics and Agricultural Biotechnology Institute of Tabarestan and Sari Agricultural Sciences and Natural Resources University Sari Iran
2. Agricultural Research Education and Extension Organization Sari Iran
3. University of Gabes, Arid Regions Institute, LR16IRA03 Laboratory of Range Land Ecosystems and Valorization of Spontaneous Plants and Associated Microorganisms El Fjé Medenine Tunisia
4. Department of Soil, Plant and Food Sciences University of Bari Aldo Moro Bari Italy
Abstract
AbstractTo date, there has been little agreement on supporting the hypothesis that how some key vegetative traits of camelina (Camelina sativa (L.) Crantz var. ‘Soheil’) are dependent on plant biomass. Therefore, the main aim of this investigation was to quantify the relationship between the size of camelina plants and seed production across a broad‐range of plant densities through modelling approaches. To make a wide range of plant densities, a fan design was used in eight replicates in an experimental field at Sari Agricultural Sciences and Natural Resources University, Iran. To quantify the relation between plant density and other plant traits, a regression analysis was carried out and the coefficient of determination (R2) was considered to evaluate the goodness of fit model. A power model (y = axb) could describe well the relationship between plant density (ranged 113–2905 plants m−2) and plant biomass, seed production, number of seeds per plant, stem diameter, and siliques number, with the coefficient of determination (R2) values of 0.85, 0.87, 0.65, 0.64, and 0.90, respectively. The harvest indexes were 13.8%–26.9%, depending on plant density. Seed production per plant was positively correlated to the siliques number (r = 0.85), the branch number (r = 0.80), and the seed number (r = 0.99) which could be key components of camelina seed production per plant. Furthermore, no significant correlation was found among plant height, thousand‐seed weight, and harvest index with seed production per plant. In conclusion, plant biomass could be considered an important trait to predict plant growth models of camelina. Also, a lower plant density of camelina can be compensated by a greater number of siliques, branches and seeds per plant.
Funder
GABIT
Sari Agricultural Sciences and Natural Resources University
Subject
Agronomy and Crop Science
Cited by
1 articles.
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