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Allimuthu Elangovan, Nguyen Trung Duc, Dhandapani Raju, Sudhir Kumar, Biswabiplab Singh, Chandrapal Vishwakarma, Subbaiyan Gopala Krishnan, Ranjith Kumar Ellur, Monika Dalal, Padmini Swain, Sushanta Kumar Dash, Madan Pal Singh, Rabi Narayan Sahoo, Govindaraj Kamalam Dinesh, Poonam Gupta and Viswanathan Chinnusamy
Phenomics technologies have advanced rapidly in the recent past for precision phenotyping of diverse crop plants. High-throughput phenotyping using imaging sensors has been proven to fetch more informative data from a large population of genotypes than t...
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Na Luo, Yunlong Li, Baohua Yang, Biyun Liu and Qianying Dai
The content of tea polyphenols (TP) is one of the important indicators for judging the quality of tea. Accurate and non-destructive estimation technology for tea polyphenol content has attracted more and more attention, which has become a key technology ...
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Fuat Kaya, Ali Keshavarzi, Rosa Francaviglia, Gordana Kaplan, Levent Basayigit and Mert Dedeoglu
Predicting soil chemical properties such as soil organic carbon (SOC) and available phosphorus (Ava-P) content is critical in areas where different land uses exist. The distribution of SOC and Ava-P is influenced by both natural and anthropogenic factors...
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Guglielmo Lione, Francesca Brescia, Luana Giordano and Paolo Gonthier
Chestnut blight is the major disease of chestnuts (Castanea spp.) cultivated worldwide for the production of edible nuts. The disease is caused by the pathogenic fungus Cryphonectria parasitica, which infects trees by means of airborne propagules penetra...
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Rafael Calama,Javier Gordo,Guillermo Madrigal,Sven Mutke,Mar Conde,Gregorio Montero,Marta Pardos
Pág. e079
Aim of the study: To present a new spatiotemporal model for Pinus pinea L. annual cone production with validity for Spanish Northen Plateau and Central Range regions. The new model aims to deal with detected deficiencies in previous models: temporal shor...
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