Impacts of climatic and varietal changes on phenology and yield components in rice production in Shonai region of Yamagata Prefecture, Northeast Japan for 36 years

TL;DR: Impacts of climate change on the water balance of an agricultural reservoir in a Mediterranean-climate basin in Turkey throughout the 21st century indicate the importance of sustainable water resources management in the region to provide irrigation water from reservoirs, and to sustain agricultural productivity under projected water limitations due to climate change.

TL;DR: The aim of this work was to study the metal removal efficiency of Rumex dentatus, Ranunculus sceleratus, and Cammelina benghalensis which thrive on wastewater containing complex co-pollutants.

TL;DR: Evaluated satellite data-based estimates of rice phenological stages in California, USA by comparing them with survey data and with predictions by a temperature-driven phenology model confirm that satellite data can be an effective way to estimate variations in rice phenology and can provide critical information that can be used to improve understanding of agricultural responses to weather variation.

TL;DR: In this article , the impact of conservation agriculture on soil aggregation, carbon pools and soil organic carbon (SOC) stock in a rice-wheat system was investigated in the Indo-Gangetic Plains (IGP).

TL;DR: In this article, the authors used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971-2000) and concluded that previously published results of phenological changes were not biased by reporting or publication predisposition.

TL;DR: This paper found that warmer temperatures increased the rate of phenological development, however, there was no effect on leaf area or vegetative biomass compared to normal temperatures, and the major impact of warmer temperatures was during the reproductive stage of development and in all cases grain yield in maize was significantly reduced by as much as 80−90% from a normal temperature regime.

TL;DR: In this article, a comprehensive review of literature related to the assessment of climate change impacts on crop productivity using climate, water and crop yield models is provided, and the existing studies present that climate change models with higher spatial resolution can be a way forward for future climate projections.

TL;DR: In this article, the root mean squared deviation (RMSD) is used to compare the performance of simulation vs. measurement, and the results were compared with those from regression analysis.