scholarly journals Satellite-Based Observations Reveal Effects of Weather Variation on Rice Phenology

2020 ◽  
Vol 12 (9) ◽  
pp. 1522
Author(s):  
Hongfei Wang ◽  
Aniruddha Ghosh ◽  
Bruce A. Linquist ◽  
Robert J. Hijmans
Keyword(s):  
Survey Data ◽  
Ecosystem Function ◽  
Satellite Data ◽  
Growing Season ◽  
Phenological Stages ◽  
Mean Temperature ◽  
Weather Variation ◽  
Harvest Dates ◽  
Phenology Model ◽  
Rice Phenology

Obtaining detailed data on the spatio-temporal variation in crop phenology is critical to increasing our understanding of agro-ecosystem function, such as their response to weather variation and climate change. It is challenging to collect such data over large areas through field observations. The use of satellite remote sensing data has made phenology data collection easier, although the quality and the utility of such data to understand agro-ecosystem function have not been widely studied. Here, we 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. We then used the satellite data-based estimates to quantify the crop phenological response to changes in weather. We used time-series of MODIS satellite data and PhenoRice, a rule-based rice phenology detection algorithm, to determine annual planting, heading and harvest dates of paddy rice in California between 2002 and 2017. At the state level, our satellite-based estimates of rice phenology were very similar to the official survey data, particularly for planting and harvest dates (RMSE = 3.8–4.0 days). Satellite based observations were also similar to predictions by the DD10 temperature-driven phenology model. We analyzed how the timing of these phenological stages varied with concurrent temperature and precipitation over this 16-year time period. We found that planting was earlier in warm springs (−1.4 days °C−1 for mean temperature between mid-April and mid-May) and later in wet years (5.3 days 100 mm-1 for total precipitation from March to April). Higher mean temperature during the pre-heading period of the growing season advanced heading by 2.9 days °C−1 and shortened duration from planting to heading by 1.9 days °C−1. The entire growing season was reduced by 3.2 days °C−1 because of the increased temperature during the rice season. Our findings 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.

scholarly journals Analogy-Based Crop Yield Forecasts Based on Temporal Similarity of Leaf Area Index

2021 ◽  
Vol 13 (16) ◽  
pp. 3069
Author(s):  
Yadong Liu ◽  
Junhwan Kim ◽  
David H. Fleisher ◽  
Kwang Soo Kim
Keyword(s):  
Time Series ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Crop Yield ◽  
Satellite Data ◽  
Growing Season ◽  
Environmental Data ◽  
Area Index ◽  
Current Season ◽  
Wide Range

Seasonal forecasts of crop yield are important components for agricultural policy decisions and farmer planning. A wide range of input data are often needed to forecast crop yield in a region where sophisticated approaches such as machine learning and process-based models are used. This requires considerable effort for data preparation in addition to identifying data sources. Here, we propose a simpler approach called the Analogy Based Crop-yield (ABC) forecast scheme to make timely and accurate prediction of regional crop yield using a minimum set of inputs. In the ABC method, a growing season from a prior long-term period, e.g., 10 years, is first identified as analogous to the current season by the use of a similarity index based on the time series leaf area index (LAI) patterns. Crop yield in the given growing season is then forecasted using the weighted yield average reported in the analogous seasons for the area of interest. The ABC approach was used to predict corn and soybean yields in the Midwestern U.S. at the county level for the period of 2017–2019. The MOD15A2H, which is a satellite data product for LAI, was used to compile inputs. The mean absolute percentage error (MAPE) of crop yield forecasts was <10% for corn and soybean in each growing season when the time series of LAI from the day of year 89 to 209 was used as inputs to the ABC approach. The prediction error for the ABC approach was comparable to results from a deep neural network model that relied on soil and weather data as well as satellite data in a previous study. These results indicate that the ABC approach allowed for crop yield forecast with a lead-time of at least two months before harvest. In particular, the ABC scheme would be useful for regions where crop yield forecasts are limited by availability of reliable environmental data.

The effects of burning on Festuca hallii in the parklands of central Alberta

1995 ◽  
Vol 73 (6) ◽  
pp. 937-942 ◽  
Author(s):  
Heather Sinton Gerling ◽  
Arthur W. Bailey ◽  
Walter D. Willms
Keyword(s):  
Standing Crop ◽  
Growing Season ◽  
Early Spring ◽  
Leaf Length ◽  
Tiller Number ◽  
Phenological Stages ◽  
University Of Alberta ◽  
Festuca Hallii ◽  
Tiller Density ◽  
The University

The response of Festuca hallii (Vassey) Piper to time of burning was examined on the Festuca–Stipa grasslands of the Aspen Parklands at the University of Alberta Ranch located 150 km southeast of Edmonton, Alberta. Two defoliation treatments (burning and mowing) were examined on five dates in 1978 (8 April, 27 April, 1 June, 31 July, and 18 October), corresponding to different phenological stages of F. hallii. Burning and mowing reduced the standing crop of F. hallii produced in the first growing season after treatment, but tiller densities increased. Defoliation in early spring (8 April) had little effect on the standing crop; apparently the increase in tiller density compensated for the reduction in tiller length. Inflorescence density also increased following burning or mowing from 8 April to 1 June. Soil temperature (3 cm deep) on previously burned or mown sites was greater than on the control the year after treatment. Festuca hallii tolerates single burns at any time of the year, but early spring fires have the greatest benefits by increased tillering and standing crop. Key words: standing crop, tiller number, leaf length, litter, defoliation, mowing.

scholarly journals Rust and leaf spot diseases on American elderberry plants

2017 ◽  
Author(s):  
◽  
Kaley Hensel
Keyword(s):  
Leaf Spot ◽  
Dry Weight ◽  
Growing Season ◽  
Significant Loss ◽  
Leaf Wetness ◽  
Conservative Estimate ◽  
Sambucus Nigra ◽  
Shoot Dry Weight ◽  
Harvest Dates ◽  
High Level

Elderberry rust (Puccinia sambuci Schewin.) Arthur (=P. bolleyana) and leaf spot diseases are frequently found in commercial American elderberry (Sambucus nigra L. subsp. canadensis L.) plantings throughout the growing season in Missouri. Thus, studies were conducted to ascertain if rust infections affect plant growth, fruiting, or berry puree quality. Rust symptoms were observed in early April at 9 to 18[degrees] C, [greater than or equal to] 3 h leaf wetness, and [greater than or equal to] 85% relative humidity. When young, potted elderberry plants averaged 3 to 6 rust pustules/plant, vegetative growth was not adversely affected. However, field-grown elderberry plants heavily infected with rust (137 pustules/cane) lost nearly twice as many leaves as controls during the growing season, indicating rust-induced defoliation. Shoot dry weight of these heavily infected canes was also 32% less than that of controls. First and last harvest dates were advanced by the high level of rust infection on 'Wyldewood' elderberry canes, but not by low pustules numbers ([less than] 6 pustules/plant) on 'Bob Gordon' or 'Ozark' plants. Similarly, berry yields were not significantly different at low infection levels, even though rust-infected 'Bob Gordon' plants had a 31% reduction in yield with an estimated $440/ha loss of income. Heavily-infected 'Wyldewood' canes had a significant loss in berry yield (47%) and potential income ($2,295/ha), assuming a conservative estimate of five canes/plan. In another study, Colletotrichum was isolated from elderberry leaf spot lesions and identified before subsequent re-inoculation of elderberry plants with this pathogen. Three species of Colletotrichum (C. salicis Funkel, C. kahawae subsp. ciggaro Wollenw., and C. aenigma C.M. Tian and Z. Li) were putatively identified as being casual agents of leaf spot indicating the diversity of species within this genus on elderberry plants.

scholarly journals Spatial variability in climate, phenology, and fruit composition across a reference vineyard network in Southern Oregon

2018 ◽  
Vol 50 ◽  
pp. 01018
Author(s):  
Gregory V. Jones
Keyword(s):  
Spatial Variability ◽  
Observational Data ◽  
Growing Season ◽  
Spatial Variations ◽  
Total Acidity ◽  
Diurnal Temperature ◽  
Fruit Composition ◽  
Western Us ◽  
Harvest Dates ◽  
Temperature Ranges

This paper provides a summary of observational data from a reference vineyard network in the Southern Oregon American Viticultural Area (AVA). The network was established to collect baseline data on spatial variations in temperature, grapevine phenology, and composition characteristics across a collection of varieties grown in the region. The results from the period 2003 through 2017 show a wide diversity of climate types for winegrape production ranging from relatively cool to relatively warm conditions (GST 14.8 to 17.5°C and GDD 1109 to 1657). One unique climate aspect is that the region experiences higher diurnal temperature ranges during the growing season than regions in Europe and many others in the western US. Grapevine phenological timing and intervals between events are similar to other wine regions with budbreak averaging 14-Apr, flowering 14-Jun, véraison 19-Aug. However, harvest dates are up to ten days to two weeks later than many regions in Europe. Ripening period and harvest composition observations reveal the diversity of potential varieties that the region can ripen. Over all varieties, sites and vintages observed harvest composition averages 23.7 °Brix, 6.4 g/L total acidity, a pH of 3.44, and yields of 2.7 tons/acre.

scholarly journals Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997–2010 using in situ and high-resolution satellite data

Tellus B ◽  
2013 ◽  
Vol 65 (1) ◽  
pp. 19722 ◽  
Author(s):  
Torbern Tagesson ◽  
Mikhail Mastepanov ◽  
Meelis Mölder ◽  
Mikkel P. Tamstorf ◽  
Lars Eklundh ◽  
...  
Keyword(s):  
High Resolution ◽  
Satellite Data ◽  
Growing Season ◽  
High Arctic ◽  
Tundra Ecosystem ◽  
Methane Fluxes

scholarly journals Biological Cycle of Susceptible and Glyphosate-Resistant Sourgrass Biotypes in Two Growth Periods

2018 ◽  
Vol 36 (0) ◽  
Author(s):  
S.D. FERREIRA ◽  
V. EXTECKOETTER ◽  
A.M. GIBBERT ◽  
J.A. BARBOSA ◽  
N.V. COSTA
Keyword(s):  
Reproductive Potential ◽  
Winter Period ◽  
Biological Cycle ◽  
Phenological Stages ◽  
Original Population ◽  
Autumn Period ◽  
Mean Temperature ◽  
Entre Rios ◽  
Agricultural Areas ◽  
Selection Of

ABSTRACT: Selecting glyphosate-resistant Digitaria insularis may cause changes in the biological cycle of the species. Therefore, the objective of this study was to evaluate the biological cycle of susceptible and glyphosate-resistant D. insularis biotypes in two growth periods (summer/autumn and autumn/winter). Seeds were collected in the municipality of Alagoa Grande (07o02’59" S 35o37’01,5" W), and were considered susceptible (S1), in Cascavel (24o55’27" S 53o27’54.6 ”W) considered as resistant 1 (R1), Entre Rios do Oeste (24o40’44" S 54o17’05" W) considered as resistant 2 (R2) and Marechal Cândido Rondon (24o42’30" S 54o21’10" W) considered as resistant 3 (R3). Evaluations were carried out in the summer/autumn and autumn/winter periods. The collection periods of plants were: 14; 21; 28; 35; 42; 49; 56; 63; 70; 77; 84; 91; 98; 105; 112 and 119 days after emergence (DAE). The selection of glyphosate-resistant D. insularis biotypes in agricultural areas affected the biology of the species, in relation to the original population of the susceptible biotype. In the summer/autumn period (mean temperature 24.6 oC), the S biotype started the emission of tillers and flowering at 14 and 21 DAE on an average, respectively, before the resistant biotypes. However, in the autumn/winter period (mean temperature 19.0 oC) only the R1 biotype was able to develop and complete the biological cycle. The evaluated biotypes presented differences during the development, mainly between the phenological stages, so that the susceptible biotype was the most precocious and with a high reproductive potential. The physiological evaluations showed no differences among the S, R1, R2 and R3 biotypes, as verified in the TCR.

scholarly journals Epiphytic Microbiome of Grapes Berries Varies Between Phenological Timepoints, Growing Seasons and Regions

2019 ◽  
Author(s):  
Megan E. Hall ◽  
Isabelle O’Bryon ◽  
Wayne F. Wilcox ◽  
Michael V. Osier ◽  
Lance Cadle-Davidson
Keyword(s):  
New York ◽  
Growing Season ◽  
Phenological Stage ◽  
Phenological Stages ◽  
Growing Seasons ◽  
Single Region ◽  
Finger Lakes ◽  
Primary Focus ◽  
One Year

AbstractExtensive research into the microbial ecology of grapes near harvest, with a primary focus on yeasts, has improved our understanding of some components of variation that influence grapevine terroir. Metagenomic tools enable a broader exploration of the plant microbiome and components of variability due to such factors as year, location, management, and phenological stage. In 2014, to characterize the microbial changes of the grape surface over the course of the growing season in the Finger Lakes region of New York, we examined the epiphytic microbiome of grapes at five key phenological stages: pea-sized, bunch closure, Veraison, 15 Brix and harvest. This experiment was repeated in two subsequent years in the Finger Lakes, New York in 2015, and in Tasmania, Australia in 2016, to examine variability of regional terroir. We found significant shifts in taxa presence and relative taxa abundance between phenological timepoints, and determined that the epiphytic microbiome differed significantly not just between regions but also within a single region from one year to the next. These findings call into question the role of the phytobiome in the expression of terroir, as the phytobiome is dynamically responding to its environment, within and between years and locations. On the berry surface in particular, these dynamics are complicated by weather and management. Understanding that the grape surface microbiome is consistently changing may influence how we manage the berry epiphytic microbiome, potentially affecting disease management and vinification decisions.

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