نتایج جستجو برای: keywords cotton

تعداد نتایج: 1996718  

The current commercial application of ink-jet reactive inks to cotton fabrics has been through pre-treating with pad liquor prior to printing. In This study made an effort to provide a single phase ink-jet printing process for printing cotton fabric using the novel cationic reactive dye in ink’s formulation. Cotton fabric was printed upon with the novel cationic reactive dye and commercial anio...

Journal: :Electronic Journal of Plant Breeding 2023

Genetic variability for seed cotton yield and itscomponents were studied in three segregating F2 populations of (Gossypium hirsutumL.). Significant variation was recorded major traits all the populations. Traits such as plant height (20 cm to 143 cm), bolls per (1 30), boll weight (2.0 g 6.8 g) (1.8 115 exhibited wide range.High PCV GCV estimates under study except days 50 cent flowering openin...

Journal: :Electronic Journal of Plant Breeding 2022

One hundred upland cotton germplasm accessions were evaluated for eight traits to evaluate the per se performance, genetic variability, heritability, advance as a cent of mean, correlation and path analysis. The estimation variability indicated that number monopodia plant had high GCV PCV. High heritability along with GAM was  found in height, internode length, plant, sympodia bolls seed y...

Journal: :Electronic Journal of Plant Breeding 2022

Cotton is India’s most important cash crop and it used for agricultural industrial purposes all over the world. The greatest way identifying superior hybrids best combiners of parents by L×T design. For analyzing combining ability heterosis various yield attributing variables as well quality traits, viz., four lines testers were crossed to produce sixteen hybrids. MCU5 × KC3 cross contributed p...

Journal: :TEION KOGAKU (Journal of Cryogenics and Superconductivity Society of Japan) 2008

Journal: :Communications on Applied Electronics 2015

2013
Xun Ge Jianhua Gong

Rankings for output of Chinese main agricultural commodity in the world for 1978, 1980, 1990, 2000, 2006, 2007 and 2008 have been released in United Nations FAO Database. Unfortunately, where the ranking of output of Chinese cotton lint in the world for 2008 was missed. This paper uses sequential data mining methods with decision rules filling this gap. This new data mining method will be help ...

Journal: :Proceedings of the AAAI Conference on Artificial Intelligence 2020

Journal: :Journal of Memory and Language 2014

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