Mohamed M. Kamara^1,*, Nora M. Al Aboud², Hameed Alsamadany³, Abeer M. Kutby⁴, Imen Ben Abdelmalek⁵, Diaa Abd El-Moneim⁶, Motrih Al-Mutiry⁷

Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 101-122, 2025, DOI:10.32604/phyton.2025.058033 - 24 January 2025

Abstract Nitrogen (N) is a crucial nutrient vital for the growth and productivity of maize. However, excessive nitrogen application can result in numerous environmental and ecological problems, such as water pollution, biodiversity loss, and greenhouse gas emissions. Therefore, breeding maize hybrids resilient to low nitrogen conditions is crucial for sustainable agriculture, especially under low nitrogen conditions. Consequently, this study aimed to evaluate the combining ability and heterosis of maize lines, recognize promising hybrids, and study gene action controlling key traits under low and recommended N stress conditions. The half-diallel mating design hybridized seven maize inbreds, resulting… More >

Janani Malaisamy^*, Jebakumar Rethnaraj

Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1845-1862, 2023, DOI:10.32604/iasc.2023.034280 - 05 January 2023

Abstract Prediction of the nutrient deficiency range and control of it through application of an appropriate amount of fertiliser at all growth stages is critical to achieving a qualitative and quantitative yield. Distributing fertiliser in optimum amounts will protect the environment’s condition and human health risks. Early identification also prevents the disease’s occurrence in groundnut crops. A convolutional neural network is a computer vision algorithm that can be replaced in the place of human experts and laboratory methods to predict groundnut crop nitrogen nutrient deficiency through image features. Since chlorophyll and nitrogen are proportionate to one… More >

Hans Christian Correa-Aguado^1,3, Gloria Viviana Cerrillo-Rojas¹, Alejandro Rocha-Uribe², Ruth Elena Soria-Guerra², José Francisco Morales-Domínguez^1,*

Phyton-International Journal of Experimental Botany, Vol.90, No.2, pp. 515-531, 2021, DOI:10.32604/phyton.2021.013619 - 07 February 2021

Abstract The need for renewable energy sources makes microalgae an essential feedstock for biofuels production. The molecular aspects and the response to nitrogen (N)-limited conditions with a phytohormone stimulus in microalgae have been slightly explored. In this work, Scenedesmus obliquus was used as a study model to analyze the effect of benzyl amino purine (BAP) and gibberellic acid (GA) coupled to nitrogen limitation on cell growth, biomass and fatty acids. The selected 10^-5 M BAP increased the biomass by 1.44-fold, and 10^-6 M GA by 1.35-fold. The total lipids also increased by 2.8 and 1.11-fold, respectively. The 10^-5 M… More >