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To assemble a data set of global crop planting and harvesting dates for 19 major crops, explore spatial relationships between planting date and climate for two of them, and compare our analysis with a review of the literature on factors that drive decisions on planting dates. Global. We digitized and georeferenced existing data on crop planting and harvesting dates from six sources. We then examined relationships between planting dates and temperature, precipitation and potential evapotranspiration using 30-year average climatologies from the Climatic Research Unit, University of East Anglia (CRU CL 2.0). We present global planting date patterns for maize, spring wheat and winter wheat (our full, publicly available data set contains planting and harvesting dates for 19 major crops). Maize planting in the northern mid-latitudes generally occurs in April and May. Daily average air temperatures are usually c. 12-17 °C at the time of maize planting in these regions, although soil moisture often determines planting date more directly than does temperature. Maize planting dates vary more widely in tropical regions. Spring wheat is usually planted at cooler temperatures than maize, between c. 8 and 14 °C in temperate regions. Winter wheat is generally planted in September and October in the northern mid-latitudes. In temperate regions, spatial patterns of maize and spring wheat planting dates can be predicted reasonably well by assuming a fixed temperature at planting. However, planting dates in lower latitudes and planting dates of winter wheat are more difficult to predict from climate alone. In part this is because planting dates may be chosen to ensure a favourable climate during a critical growth stage, such as flowering, rather than to ensure an optimal climate early in the crop's growth. The lack of predictability is also due to the pervasive influence of technological and socio-economic factors on planting dates.

Climate change poses emerging threats to wheat growth in coming future. These threats need to be explored to ensure sustainable wheat production. To do this, the SALTMED model was calibrated using data from experiments conducted on different levels of irrigation and nitrogen doses. The performance of the SALTMED model was assessed based on values of the root mean square error (RMSE), normalized root mean square error (NRMSE), coefficient of determination (R2) and coefficient of residual mass (CRM) that ranged from 0.23–1.82, 0.09–0.17, 0.91–0.93 and −0.01–0.02, respectively for calibration and 0.31–1.89, 0.11–0.31, 0.87–0.90 and −0.02–0.01, respectively for validation. Projections for future climate scenarios for wheat growth indicated that by the end of the century, sowing dates advanced by nine days under the RCP4.5 scenario and eleven days under the RCP8.5 scenario, while harvesting dates shifted earlier by twenty-four days under RCP4.5 and twenty-eight days under RCP8.5. Consequently, the overall crop duration was shortened by fifteen days under RCP4.5 and eighteen days under RCP8.5. Further simulations revealed that the wheat yield was reduced by 14.2% under RCP4.5 and 21.0% under RCP8.5; the dry matter was reduced by 14.9% under RCP4.5 and 23.3% under RCP8.5; the irrigation amount was expected to increase by 14.9% under RCP4.5 and 18.0% under RCP8.5; and water productivity was expected to be reduced by 25.3% under RCP4.5 and 33.0% under RCP8.5 until the end of century. The hypothetical scenarios showed that adding an extra 20–40% more nitrogen can enhance wheat yield and dry matter by 10.2–23.0% and 11.5–24.6%, respectively, under RCP4.5, and by 12.0–23.4% and 12.9–29.6%, respectively, under RCP8.5. This study offers valuable insights into the effects of climate change on future wheat production so that effective contingency plans could be made by policymakers and adopted by stakeholders for higher wheat productivity.

Timely sowing and harvesting play important roles in agricultural production. The appropriate management decisions are necessary to cope with climate change and ensure high and stable crop yields. This study analyzed the effects of sowing date on the growth process of winter wheat and quantified the effects of climate resources and photothermal potential yield on theoretical yield at different stages of winter wheat. The analysis was based on the data from winter wheat interval sowing experiments conducted at the Hebei Gucheng Agricultural Meteorology National Observation and Research Station (Gucheng station) in north China (115°40′ E, 39°08′ N) during 2017–2019. The results showed that: (1) with the delay in sowing date, the growth process of winter wheat significantly advanced, the proportion of vegetative growth period significantly reduced (0.19% for per day delay), the proportion of reproductive growth period (RGP) significantly increased (0.12% for per day delay), and the prewintering light and temperature resources significantly reduced (12.2 °C·d accumulated temperature and 19.0 MJ·m−2 solar radiation for per day delay); (2) the theoretical yield of winter wheat showed a significant exponential relationship with the photothermal potential yield of the whole growth period: the minimum photothermal potential for yield formation was 26.6 t·ha−1, and the maximum theoretical yield was 12.6 t·ha−1; and (3) the wheat yield and yield stability were highest when the RGP photothermal potential yield was 16.0 t·ha−1 and the prewintering active accumulated temperature was 400 °C·d. This study also proposed a method to estimate the suitable sowing and harvesting dates to achieve high and stable yield of winter wheat, showing that the suitable sowing dates of winter wheat at Gucheng station from 1997 to 2021 ranged from 1 to 15 October, with no significant interannual variation; the suitable harvesting period ranged from 5 June to 10 July and showed a trend of gradual advance with the delay of the year. The results of the study provide a reference for sowing date adjustment of crops to adapt to climate change.

Afield experiment was conducted at the Research station of the college of Agriculture - University of Al-Muthanna, in the Northeast of Al-Muthanna Governorate (9 km from center of the city of Samawa), in the seasons (2018-2019) and (2019-2020), to study the effect of four harvest dates and four varieties of wheat on yield and quality characteristics, The experiment was applied according to split-plots design Using the R.C.B.D with three replications, The results of the analysis showed the Significant effect of harvest dates on all studied traits, as the date of the third harvest increased by giving the highest grain yield of 5.01 and 5.32 t h −1 for the two seasons respectively, while the fourth harvest date was superior by giving the highest percentage of dry gluten in the first season amounted to 11.66%. As for the effect of the cultivars, it was noticed that the Babel cultivar was superior in grain yield of 4.81 and 5.04 t ha −1 , for the two seasons respectively, while the Bora cultivar gave the highest average weight of 1000 grains for the second season which amounted to 32.68 g, and the percentage of protein in the grains was 12.83% for the second season, and Ash was 1.90 and 1.85% for the two seasons sequentially, while the interaction of the fourth harvest date with Babel cultivar was superior by giving highest weight of 1000 grains in the first season amounted to 33.41 m, while the interaction of the first harvest date with Bora cultivar in the vital yield first season was 16.6 t h −1 .

The present study aimed to determine the impact of climate variability on rice crops in terms of sowing and harvesting dates and crop period. The identification of sowing and harvesting dates were spotted by mask identification, variations in land surface temperature (LST) on a temporal scale in the respective months, and a field-level social inquiry. The study was conducted during a time period (1994–2017), in which geo-referenced crop samples, farmer’s perception survey data, Landsat satellite images, and climate data of district Larkana were used. The analysis of satellite imageries revealed that on 20 June 1994, the rice was transplanted on 14.7% of the area of the region while it was only 7.1% of the area in 2017. Similarly, the area under rice crop in the first week of July 1994 was 18.3% compared to 8.15% during the same period in 2017. However, in the first week of October 2017, the rice crop was standing on 46.8% of the area while it was on 34.6% of the area during the year 1994 on the same date. This LST variation depicts a delay in the sowing and harvesting of the rice crop. This changing pattern is further confirmed through mean LST. Mean LST (°C) has been increasing in the sowing period of rice crop from 31.9 °C in June 1994 to 35.8 °C in June 2017, and from 32.8 °C in July 1994 to 36.8 °C in July 2017. Furthermore, the LST decreased during the harvesting period of rice crop from 31 °C in October 1994 to 28.6 °C in October 2017. The present study quantifies a delay of 15–30 days in sowing and harvesting dates of the rice crop in the district due to climate variability.

The fruits of semi-soft pear ( Pyrus communis ) cv. Punjab Beauty harvested at three different harvest dates were stored at 0–1 0 C temperature with 90–95 % Relative Humidity for 30, 45, 60 and 75 days to assess the physical and chemical changes during storage. After every storage interval, the fruits were removed and kept at room temperature for 3 and 6 days to study the shelf life of fruits. Immature fruits always had the highest values of flesh firmness; optimum-mature fruits had the next and over-mature fruits the lowest at each corresponding sampling period during storage. The fruits harvested at optimum stage of maturity exhibited significantly ( p  < 0.05) lower incidence of fruit softening and physiological loss in weight. These fruits retained excellent quality up to 60 days of storage in cool chamber with 3 days shelf life at ambient temperature. The fruits of first harvest date were incapable of developing acceptable flavor and quality upon ripening throughout the storage period. However, the fruits harvested at post-optimum stage recorded maximum physiological loss in weight and lesser firmness thus making them suitable for immediate consumption with no shelf life at ambient temperature storage.

Colour measurement is one of the methods used to evaluate food quality. Aim of completed research was the evaluation of a fast and non-destructive method which consisted of assessing colour changes. It was used to determine the ripeness of cherries during their harvest. Additionally, the most significant parameter determining fruit ripeness was identified. Colour measurements of the Burlat cherry on the PHL A rootstocks were supposed to provide standards for practical evaluation of fruit ripeness of this species at an orchard. During the research, the measurements concerned the internal quality of the cherry fruit (firmness, extract content) and the force required to tear off the stem, depending on the size of the fruit. The extract appeared to be the most important indicator to be used for the determination of an optimum harvesting period. It was most prominently correlated with the cherry’s colour. Changes in the skin colour were the most reflected by the value of the parameter CIE a*. The coordinates CIE L* and b* are also important for the determination of fruit quality. Burlat cherries achieve their optimum harvesting ripeness if the coordinate a* is within the range 30.0 to 0.0, the coordinate b* within 10.0 to 0.0 and the coordinate L* within 30.0 to 20.0, which corresponds to the extract value of 12-20%.

The phenolic compounds, total phenolic content, and antioxidant activity of Gemlik variety olive fruits obtained from four different locations in Turkey on five different harvesting dates (HDs) were investigated. The determination of phenolic compounds in olive flesh methanolic extracts was done by high performance liquid chromatography (HPLC) analysis. The total phenolic content and antioxidant activity values were estimated using Folin-Ciocalteu reagent and 2,2-diphenyl-1-picodrylhydrazyl reagent methods, respectively. Among 11 phenolic compounds identified, vanillic acid and hydroxytyrosol are the most abundant ones. In general, olive fruits from the Umurbey location had higher levels of phenolic compounds. The antioxidant activities of the olives were related to their phenolic content, and the olive fruits from the Umurbey location had a mean antioxidant activity 66.52% higher than that of other olives. There were differences among the quantities of phenolic compounds, the total phenolic contents, and the antioxidant activities of the olive fruits depending on HDs and location.

Horseradish is grown for its enlarged taproot that is widely used as a dish condiment and as a source of horseradish peroxidase. Nowadays, the species is gaining great interest due to the richness in bioactive compounds that besides providing a high nutritional value are tested for innovative applications in different fields. Nevertheless, the effect of crop management on root yield and glucosinolates (GLS) biosynthesis is poorly documented. Aim of this study was to evaluate the root yield and GLS concentration of two field-grown horseradish accessions (Cor and Mon) grown with nitrogen (N) alone and both N and sulphur (S) (-N-S, +N-S and +N+S treatments) and harvested at different times [late autumn (LA), 2011 and 2012, early spring (ES), 2012]. Yield increased throughout the harvests up to 48% on average of the fertilised treatments and 25% in the unfertilised control. Conversely, root GLS concentration significantly declined in the unfertilised control throughout the harvests [from 7.6 in LA_2011 to 1.43 μmol/g dry matter (DM) in LA_2012] while it highly increased in plants grown with N alone and with both N and S by 46 and 98%, respectively, from LA_2011 to ES_2012 (up to 11.9 and 21.1 μmol/g DM, respectively); then it drastically decreased by 80% on average, in the next harvest. Among individual GLS, the concentration of sinigrin and nasturtin similarly varied as effect of the analysed factors, showing the highest values in Cor accession. The data show that although the level of GLS is highly dependent on genotype, fertilisation and harvesting date may play a primary role in determining the yield and GLS concentration in horseradish root.

Purple carrots are rich in anthocyanins which are interesting as natural dyes in food and beverages. It is, thus, relevant to increase the concentration of anthocyanins by agricultural practices. We tested whether the combination of reduced nitrogen (N) supply and extended harvesting periods maximized the anthocyanin concentration of purple carrot roots, ideally without reducing their yield. The carrot variety ‘Deep Purple’ was grown with total N supplies of 220 kg N ha−1 (controls) and 73 kg N ha−1 (reduced N), respectively. Upon harvests in September, October and November, root yield and quality were assessed. Concentrations of chlorophylls (leaves) and anthocyanins (roots and leaves) were determined by spectroscopic and chemical analyses, and carbon and N content were quantified. Reduced N supply neither affected leaf or root biomass nor their chemical composition. Later harvests did not impact the yield of roots, but increased their diameter by 8.5–20%. Additionally, the anthocyanin concentrations of the roots increased by 40–50% in the controls, but not in N-limited plants, at late harvests. Consequently, extending the harvesting period might increase the anthocyanin concentration in roots of ‘Deep Purple’. Moreover, N supply might be reduced for this carrot variety without negative effects on root yield.