Results 91 to 100 of about 874,752 (309)

The Effect of Sustainability Information on Consumers' Preferences for Fungus‐Resistant Grape Wine

Agribusiness, EarlyView.
ABSTRACT The demand for sustainable food production is intensifying the need to reduce the environmental and social impacts of pesticide use in agriculture. In viticulture, where dependence on pesticides is high because grapevines are susceptible to fungal diseases, fungus‐resistant grape varieties (PIWI) offer a promising strategy to reduce chemical ...
Daniel Vecchiato, Andrea Dominici, Fabio Boncinelli   +2 more
wiley   +1 more source

Characterisation of Western Himalayan common bean (Phaseolus vulgaris L.) genotypes for agronomic traits, seed macro- and micronutrient composition, disease response and SSR markers

Discover Plants
Western Himalayas is a hot spot for common bean variability. We evaluated 45 diverse genotypes for ten agronomic and seven seed nutritional traits, as well as disease response and molecular diversity analysis using 50 SSR markers. Significant variability
Ishrat Riyaz, Aaqif Zaffar, Samreen Fatima, Sadiah Shafi, Rayan Bhat, Sanifa Showkat, Nisha Mashee, Sajad Majeed Zargar, P. V. Vara Prasad, Parvaze A. Sofi   +9 more
doaj   +1 more source

The agronomic traits of WT and hdy1.

, 2015
** Represents a significant difference between wild type and mutant at the 0.01 level.The agronomic traits of WT and hdy1.
Shujing Kang (830061), Xingming Hu (228657), Juan Zhao (109151), Sen Zhang (498066), Banpu Ruan (830060), Li Zhu (67404), Zhenyu Gao (830064), Guojun Dong (389687), Dali Zeng (830062), Jiang Hu (169367), Guangheng Zhang (830063), Deyong Ren (830065), Zhennan Qiu (830059), Qian Qian (45749), Guang Chen (25155), Lei He (143930), Longbiao Guo (666334)   +16 more
core   +1 more source

AI‐Enabled RGB Light‐to‐Frequency Sensor for Nondestructive Salinity Stress Monitoring in Medicinal Plants

Advanced Intelligent Systems, EarlyView.
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad, Vinie Lee Silva‐Alvarado, Arman Heydari, Sandra Sendra, Jaime Lloret   +4 more
wiley   +1 more source

The main agronomic traits of w67 and wild type IR64.

, 2015
Values are means ± SD; n = 3;**, Highly significance at P ≤ 0.01.The main agronomic traits of w67 and wild type IR64.
Yan-lin Wei (829676), Xiang-guang Lv (829674), Yong-feng Shi (829675), Xia Xu (83500), Hui-mei Wang (829677), Xiao-bo Zhang (829678), Jian-li Wu (829679)   +6 more
core   +1 more source

Multimodal Mixed Reality for In‐Field Visualization of RGB‐Based Vegetation Indices

Advanced Intelligent Systems, EarlyView.
Evaluating crop physiological health in field environments remains constrained by offline data processing or static 2D displays, limiting real‐time spatial interpretation. This paper presents a novel mixed reality framework that calculates, normalizes, and visualizes 20 RGB‐based vegetation indices directly in agricultural fields using consumer‐grade ...
Caio Mucchiani, Konstantinos Karydis
wiley   +1 more source

Genetic performance, heritability, and correlation of traits in new plant type of rice lines for highland ecosystem

Reproduction and Breeding
Rice cultivation is crucial in providing global food needs, particularly in highland areas with distinct environmental conditions. Adapting promising rice lines suitable for highland ecosystems is essential to ensure sustainable rice production in such ...
Yusuf Limbongan, Rinaldi Sjahril, Adewidar Marano Pata'dungan, Trisday Yiin Parari   +3 more
doaj   +1 more source

Correlations between morpho-agronomic traits and quality components of birdsfoot trefoil [PDF]

Journal of Agricultural Sciences (Belgrade)
Birdsfoot trefoil is a perennial legume for the production of highquality forage. Improving the production and quality of forage is one of the strategic objectives of breeding programs.
Radić Vojo Ž., Komljenović Ilija S., Petković Borislav M.   +2 more
doaj   +1 more source

Agronomic traits of TA-wt and TA-lox3 lines in the field.

, 2016
Agronomic traits of TA-wt and TA-lox3 lines in the field.
Xin Li (51274), Zhenwei Li (834360), Jianfu Zhang (834361), Jiangli Dong (221179), Tao Wang (12008), Lei Ma (221178), Fugui Zhu (834359)   +6 more
core   +1 more source

Pearson’s correlation coefficient of agronomic traits with grain yield in each location^a.

, 2022
Pearson’s correlation coefficient of agronomic traits with grain yield in each locationa.
Bitwoded Derebe (11512882), Gobezie Chakelie (11512885), Yayeh Bitew (11512879), Fikeremariam Asargew (14265541)   +3 more
core   +1 more source