Results 61 to 70 of about 695,964 (314)

Genetic variability for different biometric traits in wheat (Triticum aestivum L.) under medium fertility conditions [PDF]

open access: yesElectronic Journal of Plant Breeding, 2014
This study was carried out at CCS HAU, Regional Research Station, Bawal (Haryana) during rabi 2012-13 with 24 wheat genotypes to assess the genetic variability, correlation and path coefficient analysis under medium fertility conditions.
Y. Kumar*, R.A.S. Lamba And R.P. Saharan1
doaj  

Relationship among grain yield and its component traits in sorghum (Sorghum bicolor (L.) Moench) germplasm accessions

open access: yesElectronic Journal of Plant Breeding, 2019
The field experiment was carried out by using 101 germplasm accessions along with seven checks during Kharif 2018 in augmented design II to evaluate the association among grain yield and its component traits into direct and indirect effects of traits on
V. KI. Sri Subalakhshmi   +3 more
doaj   +1 more source

Performance of contrasted rice genotypes grown under water saving irrigation and trait discovery for genotype improvement : [Abstract, P 3.06] [PDF]

open access: yes, 2009
Water saving technologies without reduction on grain yield, like alternate wetting and drying (AWD), have been implemented successfully in irrigated rice fields.
Bueno, Crisanta Sunio, Lafarge, Tanguy
core  

A 73‐Year‐Old Man With Several Years of Difficulty Climbing Stairs and Frequent Tripping

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT A 73‐year‐old man presented with progressive weakness and atrophy predominantly affecting the distal finger flexors and quadriceps muscles. Electrophysiological studies demonstrated mixed myogenic and neurogenic features. Muscle MRI showed inflammatory changes, and muscle biopsy revealed granulomatous myositis with histologic features ...
Mehmet Can Sari   +3 more
wiley   +1 more source

Understanding Further the Phenotypic Spectrum of Central Nervous System Inflammatory Demyelinating Disorders Using Unsupervised Clustering

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Central nervous system (CNS) inflammatory demyelinating syndromes, including multiple sclerosis (MS), aquaporin‐4 antibody–positive neuromyelitis optica spectrum disorder (AQP4 + NMOSD), and myelin oligodendrocyte glycoprotein (MOG) antibody–associated disease (MOGAD), occasionally overlap.
Bade Gulec   +6 more
wiley   +1 more source

Belt Uniform Sowing Pattern Boosts Yield of Different Winter Wheat Cultivars in Southwest China

open access: yesAgriculture, 2021
The relationship between the sowing patterns and yield performance is a valuable topic for food security. In this study, a novel belt uniform (BU) sowing pattern was reported, and a field experiment with four winter wheat cultivars was carried out over ...
Ting Chen   +5 more
doaj   +1 more source

Study of yield components under heat stress conditions in wheat [PDF]

open access: yes, 2013
High temperature tolerance can be characterised by measuring various plant productivity traits in different developmental stages. The present work investigated the effect of exposure to high temperature (30-35°C) at first node appearance, during ...
Balla, Krisztina   +4 more
core  

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai   +2 more
wiley   +1 more source

Yield of green mass, grain and other yield components of field pea (Pisum sativum L.) in dependence of agroecological conditions and seed maturity

open access: yesMljekarstvo, 2010
The goal of the research was to determine the influence of two locations (Osijek and Vinkovci) and seed age on field germination, vegetative mass and dry matter of vegetative mass yields, grain yield, 1000 grain weight and grain crude protein yield of ...
Irena Rapčan   +4 more
doaj  

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

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