This study was conducted at Setif Agricultural Experimental Station in 2017−2018 crop season, the experimental material used in this study consisted of 5 cultivars (Triticum durum Desf.) based on their difference between early and late cultivation. The genotypes tested were sowing in in a random block design with three replications, each plot consisted of 2 rows of 2.5 m long spaced of 20 cm. The aim of this study is to assess the impact of the choice of sowing date on grain yield, these components as well as some morpho-phenological traits in order to have an idea on the best sowing date. Two-way analysis of variance showed that the effect of sowing date was significant (p<0.001−0.05) with the variables above ground biomass (BIO), spike weight (SW), Thousand kernels weight (TKW), Flag leaf area (LA), plant height (PH), number of days to heading (DH) and canopy temperature (CT), this effect caused the decrease of major parameters studied and mainly grain yield (GY), accompanied by decrease of BIO, SW, TKW, relative Water contents RWC, LA, PH and DH. Ofanto is shown to be the most suitable genotype for the late sowing date (January). The correlation analysis show that GY was significantly, strongly and positively correlated (p<0.001) under both sowing date with BIO and SW. CT was negatively correlated with GY, BIO, SW and HI (p<0.05) who suggest that our plants underwent water stress during the second sowing date.
In arid and semi-arid areas, drought is an important abiotic factor that limits Durum wheat production. Identifying genotypes tolerant to drought is a challenge for plant breeders. This study aimed to evaluate the effect of direct and indirect selection on Durum wheat under rain-fed conditions in the high plains of Sétif, Algeria. Four parental varieties (Ofanto, MBB, Mrb5, Waha), three crosses (Ofanto/MBB, Ofanto/Mrb5, Ofanto/Waha) representing the F5, F6, and F7 populations, and one cultivar (Bousselm, control) were cultivated. Pheno-morpho-physiological traits were measured at the heading stage and yield and its components at grain maturity. Our results showed that the response to direct selection was reflected in a significant increase in grain yield, economic yield, and number of spikes, suggesting that grain yield may be improved using one of these characteristics as the selection criterion. Selection by canopy temperature was affected by a significant decrease in the drought susceptibility index (-11.3 %), making it possible to obtain abiotic stress-resistant lines. The study of the relationships between F5, F6, and F7 populations has shown that grain yield, economic yield, and plant height correlate with each generation, indicating no effect of genotype-environment interaction, unlike others. Late selection revealed eight meaningful lines (L1, L8, L14, L28, L32, L35, L36, and L40) in the selection process, maintaining high production throughout different cropping seasons. These successful lines were selected based on traits related to productivity: Gr.YLD, Ec.YLD, NS. These characters provide the same information as breeding programs, according to our results.
Background: We aim to determine the effects of RGB reflectance index and chlorophyll contents on yielding of 15 durum wheat genotypes growing under semi-arid conditions. Methods: The genotypes tested were sown in a random block design with three replications.The following traits were measured from the head, number of days to heading, RGB reflectance index by numerical images analysis of flag leaves and using Mesurim Pro (version 2.8) software and Chlorophyll contents. Grain yield, thousand kernels weight, number of spikes per meter square, and plant height were measured at maturity. Result: ANOVA showed that genotype effect significant for all traits. The local landrace Boutaleb witch was the best yielding genotype registered a low red reflectance index and an average green reflectance index, blue reflectance index and chlorophyll contents. The study of the correlations reveled that chlorophyll contents was significantly and negatively correlated with reflectance index at red and blue bands and very significantly and positively correlated with reflectance index at green band. PCA showed thatgrain yield was affected by number of spike per mete square, a negative relation was observed between chlorophyll contents and RGB reflectance index.
Camelina sativa- an oil seed flowering plant that originated in North Europe and Central Asia is known by many names: gold-of-pleasure, false flax, wild flax and German sesame. Belongs to the Family Cruciferae, genus Camelina and it includes several species. Camelina has several favorable agronomic characteristics, it can be cultivated both in winter and spring season, having a remarkable capacity to adapt and resist to difficult climate conditions and pests. Camelina sativa contains 30-48% oil and 33-47% protein and adequate micronutrients with unique properties for industrial and nutritional applications. In addition, Camelina is a promising oilseed crop for production of edible oil, seed meal for animal feed rations and/or biodiesel feedstock. The high amounts of unsaturated fatty acids (about 90%) make camelina oil fast-drying which can be used for making polymers, varnishes, paints, cosmetics and dermatological products. Camelina sativa seed meal consisting of up to 50% crude protein- can be sold asan ingredient for cattle and chicken feed, adding further value to producing camelina. Overall, Camelina oil, due to its composition, has multiple uses in various industries: feed technology, biodiesel production, biopolymer industry, cosmetic industry (skin-conditioning agent), in food products due to its high omega-3 fatty acid content and low erucic acid content and as milk fat substitution.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.