including nitrogen application, directly influence the growth dynamics of cotton. Frequent monitoring is necessary, and the application of crop growth regulator (CGR) has become a common practice in managing the plant’s development. CGRs help reduce plant height, control the height-to-...
introgressed alleles from two diploid cottons had a large effect on fiber quality improvement. These loci provided the potential power to overcome the bottleneck in fiber quality improvement. Our study uncovered several critical genomic signatures generated by historical breeding effects in cotton and a ...
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This comprehensive analysis indicates the significance of temperature and precipitation in determining cotton suitability across various zones. In the HSZ and MSZ zones, temperature emerged as the primary factor, whereas a synergistic effect between temperature and precipitation was most influential in the ...
The statistical significance of any trends was tested using a two-tailed t test in the SPSS 11.0 analytical software package (SPSS Inc., Chicago, IL, USA). Correlations of the lengths of the different growing phases with mean temperature (Tmean) or rainfall were investigated using Pearson’s...
The Bartlett test, conducted during the development of all zonal application maps, showed significance (P-value < 0.05) for all fields and dates in the UF, indicating the suitability of PCA. To determine the number of components to represent the data, the percentage of variance criterion ...
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Phosphorus also plays a crucial role in SSDI, as its application as phosphoric acid promotes root system development, facilitating improved access to soil nutrients and enhancing fiber quality (Bronson et al. 2003). Multiple studies conducted in the US highlighted the significance of applying N ...
Plants have evolved an intricate innate immune system to protect them from pathogens and pests through intracellular disease-resistance (R) proteins as a defense response39. Among the R genes (MethodsandSupplementary Note), each species has its unique R genes with very few genes shared between spe...
We should determine how long the historical observations should be used to the prediction. Of course the longer the historical data is, the better the prediction will be, however the more computation it will need. Here the ‘timesteps’ is set as 4, i.e., four samples of weather-pest ...