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Land Use Policy|August 2, 2024
Identifying resource-conscious and low-carbon agricultural development pathways through land use modellingAniket Deo, Paresh B Shirsath, Pramod K AggarwalScientific Data|November 27, 2022
A new two-decade (2001-2019) high-resolution agricultural primary productivity dataset for IndiaPrasun K Gangopadhyay, Paresh B Shirsath, Vinay K Dadhwal, et al.Trends in Plant Science|April 19, 2011
Agricultural biotechnology for crop improvement in a variable climate: hope or hype?Rajeev K Varshney, Kailash C Bansal, Pramod K Aggarwal, et al.NPJ Sustainable Agriculture|July 3, 2026
Climate stressor projections inform adaptation needs in South Asian oilseed systemsAnasuya Barik, Paresh B Shirsath, Roshan Babu Ojha, et al.Global Change Biology|October 21, 2014
Multimodel ensembles of wheat growth: many models are better than onePierre Martre, Daniel Wallach, Senthold Asseng, et al.Global Change Biology|July 29, 2018
Multimodel ensembles improve predictions of crop-environment-management interactionsDaniel Wallach, Pierre Martre, Bing Liu, et al.Global Change Biology|December 12, 2018
Global wheat production with 1.5 and 2.0°C above pre-industrial warmingBing Liu, Pierre Martre, Frank Ewert, et al.Nature Plants|July 18, 2017
The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.Nature Plants|September 29, 2017
Author Correction: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.Nature Plants|August 4, 2017
Erratum: The uncertainty of crop yield projections is reduced by improved temperature response functionsEnli Wang, Pierre Martre, Zhigan Zhao, et al.Pageof 2