Effects of Tillage System, Sowing Date, and Weather Course on Yield of Double-Crop Soybeans Cultivated in Drained Paddy Fields

Han, Soon-Suk; Park, Hyunjin; Shin, Tae Hwan; Ko, Jonghan; Choi, Woo‐Jung; Lee, Yunho; Bae, Hyun-Joo; Ahn, Seunghyun; Youn, Jong-Tak; Kim, Han-Yong

doi:10.3390/agronomy12081901

Cited by 5 publications

(4 citation statements)

References 41 publications

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“…Using yearly independent data sets leads to natural meteorological variations between agricultural years and different phenological responses of vegetation, which may directly affect the map predictions. These results reflect those of Han et al (2022), who also observed this weather volatility, demonstrating its considerable impact on double crop systems yield variability.…”

Section: Effect Of An Initial Clustering Step On Lulc Classificationssupporting

confidence: 88%

Land Use/Land Cover Classification in a Heterogeneous Agricultural Landscape Using Planetscope Data

Bueno

Antunes

Toro

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Land use and land cover (LULC) classification has long been an essential topic in Earth Observation research and plays a key role in the sustainable development of agriculture. This study evaluated the accuracy of LULC classification based on an initial clustering step in a heterogeneous agricultural landscape using PlanetScope imagery while checking for variability among their Normalized Difference Vegetation Index (NDVI) temporal signatures. We adopt an object-based image analysis to generate image-objects and then extract statistical information of PlanetScope spectral bands and vegetation indices as input information for classification. The exploratory analysis focused on the double crop class and calculated the distance between NDVI temporal signatures of paired land parcels. We applied an unsupervised clustering technique along with Random Forest algorithm based on multiple tests to classify and analyse gains and losses in accuracies produced by these approaches. Our results showed that the initial clustering method outperformed the non-clustered classification of LULC in overall accuracy measures. The exploratory analysis demonstrated that double crops might present high intra-class variability and diverse crop calendars for neighbour land parcels. The accuracies achieved represent promising opportunities for the sufficiently accurate classification of such areas, and the knowledge of the intra-class variability allows the analyst to infer the temporal dynamics of crop fields. We reinforce that further work could assess other types of classifiers, especially in areas with a large number of crop types and distinct management practices.

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Section: Effect Of An Initial Clustering Step On Lulc Classificationssupporting

confidence: 88%

Land Use/Land Cover Classification in a Heterogeneous Agricultural Landscape Using Planetscope Data

Bueno

Antunes

Toro

et al. 2023

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Researchers usually use different growth parameters to measure the crop's growth trajectory in terms of crop growth rate (CGR), relative growth rate (RGR), and net assimilation rate (NAR) [25]. Soybean CGR and RGR are determined by aboveground biomass accumulation per day per unit area, and NAR is measured using the active leaf area and biomass production [26,27]. Those crop growth parameters are the estimate of soybean growth, reflected in the rate of net photosynthetic carbon assimilated into organs.…”

Section: Introductionmentioning

confidence: 99%

Screening Soybean for Adaptation to Relay Intercropping Systems: Associations between Reproductive Organ Abscission and Yield

Chen

Zheng

et al. 2022

Agronomy

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The flower and pod abscission is one of the characteristics of soybean that severely limits yield, especially when intercropped with maize. Therefore, suitable soybean cultivars for intercropping are urgently needed to improve farmland productivity. We conducted a two-year field experiment to evaluate the flower and pod abscission, dry matter production, and yield advantages of 15 soybean cultivars. The results of the principal component analysis (PCA) and cluster analysis (CA) showed that 15 soybean cultivars were classified into three groups, i.e., high-yielding group (HYG), mid-yielding cultivars (MYG), and low-yielding cultivars (LYG). In the HYG group, ND12 and GX3 had characteristics of more flowers and pods and less abscission of flowers and pods. Moreover, the net assimilation rate (NAR) and relative growth rate (RGR) of HYG were significantly higher than the other. The HYG obtained a considerably higher partition ratio of 53% from biomass to seed than the other. Therefore, selecting and breeding cultivars with the characteristics of more flowers and pods and less abscission of flowers and pods can help to increase soybean yield in intercropping.

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“…5b), 이는 2019년 CH 4 발생량의 18.1%에 해당한다. 하지만, 쌀 생산량 조정을 위해서 논 면적을 인위적으로 감소시키기 보다는 질소 시비량 절감을 통해 수량은 낮지만 품질이 우수한 쌀을 생산하거나, 논 타작물 재배를 통해 국가 식량안보 기반을 유지하는 방향의 정책 이행이 필요하다 (Choi et al, 2022;Han et al, 2022). (Cai et al, 1997;Yan et al, 2000).…”

Section: Resultsunclassified

Changes in Methane Emission of Korean Rice Production Systems for the Last Two Decades and Suggestions for Methane Mitigation

Baek¹,

Park²,

Shin³

et al. 2023

Korean J. Soil. Sci. Fert.

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Rice (Oryza sativa L.) paddy soils are major sources of methane (CH 4 ) emission in the agricultural sector, and thus it is necessary to mitigate CH 4 emission from paddy soils. In this review, we have investigated the changes in CH 4 emission in South Korea for the last decades in relation with changes in rice cultivation area and rice production amount. We have also suggested managements for CH 4 reduction in rice cultivation systems. During the last 25 years since 1998, rice cultivation area has decreased by 30.8% and total CH 4 emission has also decreased by 33.5% accordingly. During the same period, total rice production has decreased by 23.8%, but rice production per unit area increased by 9.2% due to advances in agricultural technologies. The rice production per unit area was affected by rainfall (negatively) and air temperature (positively) in rice growing seasons, while CH 4 emissions per unit area for the last 25 years (8.10 -8.81 ton (CO 2 eq) ha -1 ) were not affected by weather conditions. However, CH 4 emissions per unit rice production (1.57 -1.97 ton (CO 2 eq) ton -1 ) were positively and negatively correlated with rainfall and air temperature, respectively, owing to the dependency of rice yield on weather conditions. Literature suggested that intermittent irrigation and shallow depth irrigation are effective in reducing CH 4 emission while increasing rice yield and saving water uses. In addition, it was also reported that minimum and reduced tillage could also decrease CH 4 emission while increasing soil organic carbon with marginal decreases in rice yield. Therefore, it may be possible to mitigate CH 4 emission by employing theses irrigation and tillage methods while maintaining rice cultivation area for food security under climate change.

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Effects of Tillage System, Sowing Date, and Weather Course on Yield of Double-Crop Soybeans Cultivated in Drained Paddy Fields

Cited by 5 publications

References 41 publications

Land Use/Land Cover Classification in a Heterogeneous Agricultural Landscape Using Planetscope Data

Land Use/Land Cover Classification in a Heterogeneous Agricultural Landscape Using Planetscope Data

Screening Soybean for Adaptation to Relay Intercropping Systems: Associations between Reproductive Organ Abscission and Yield

Changes in Methane Emission of Korean Rice Production Systems for the Last Two Decades and Suggestions for Methane Mitigation

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