Dampak Suhu Tinggi terhadap Pertumbuhan dan Hasil Tanaman Padi

Jaisyurahman, Usamah; Wirnas, Desta; TRIKOESOEMANINGTYAS, TRIKOESOEMANINGTYAS; Purnamawati, Heni

doi:10.24831/jai.v47i3.24892

Cited by 6 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Furthermore, climate and weather data are also frequently employed features. Elevated temperatures, for instance, can negatively impact yields by reducing pollen fertility [13], diminishing the weight of a thousand grains by 4.6%, and decreasing the harvest index by 20% [14]. Exposure to wind and rain can similarly influence rice production by causing paddy plants to lodge [15], thereby affecting grain weight and increasing the proportion of empty grains [16].…”

Section: Features and Image Collectionmentioning

confidence: 99%

Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine

Wijaya,

Munir,

Utama

2023

icdsos

View full text Add to dashboard Cite

In the era of modern agriculture, satellite imagery has been widely used to monitor crops, one of which is paddy. This paper tries to describe the vegetation indices, climate, and soil index features related to paddy plants and curates a collection of satellite imagery on the Google Earth Engine (GEE). This paper reveals how GEE can be used to collect and process multimodal satellite imagery to form a precision agriculture dataset. The objective of this study is to establish a comprehensive precision agriculture dataset by leveraging multimodal satellite imagery to monitor paddy crops. The data collected as a dataset originates from 306 locations in Karawang Regency, Indonesia, during the 2019-2020 period. In the first step, we identify the relevant features essential for paddy crop analysis. Subsequently, we carefully select image collections within GEE based on these features. Afterward, we perform data acquisition and necessary preprocessing through the Google Colab environment. The results showed that satellite imagery from Sentinel-2 outperforms Landsat 8 in terms of spatial and temporal resolution. Apart from that, the generated dataset successfully captures the growth patterns of paddy plants.

show abstract

Section: Features and Image Collectionmentioning

confidence: 99%

Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine

Wijaya,

Munir,

Utama

2023

icdsos

View full text Add to dashboard Cite

show abstract

“…Penurunan hasil dilaporkan terjadi karena gangguan pada viabilitas polen. Menurut Nishiyama and Satake (1981); Jagadish et al (2007); dan Jaisyurahman et al (2019) Genotipe Situ Patenggang menunjukkan keragaan yang lebih baik dibandingkan IPB 6R pada kedua kondisi lingkungan tumbuh. Hal ini sejalan dengan hasil penelitian sebelumnya (Manalu et al, 2017;Jaisyurahman et al, 2019).…”

Section: Keragaan Tetua Dan Populasi F 3 Padi Pada Kondisi Suhu Tinggiunclassified

“…Menurut Nishiyama and Satake (1981); Jagadish et al (2007); dan Jaisyurahman et al (2019) Genotipe Situ Patenggang menunjukkan keragaan yang lebih baik dibandingkan IPB 6R pada kedua kondisi lingkungan tumbuh. Hal ini sejalan dengan hasil penelitian sebelumnya (Manalu et al, 2017;Jaisyurahman et al, 2019). Populasi F 3 memiliki keragaman yang ditunjukkan oleh standar deviasi masing-masing karakter.…”

Section: Keragaan Tetua Dan Populasi F 3 Padi Pada Kondisi Suhu Tinggiunclassified

“…Penggunaan varietas toleran merupakan salah satu alternatif untuk mengatasi kondisi suhu tinggi dalam budidaya padi (Yaliang et al, 2019). Jaisyurahman et al (2019) melaporkan bahwa genotipe toleran menunjukkan persentase penurunan hasil lebih rendah dibandingkan dengan varietas peka. Varietas toleran memiliki hasil lebih tinggi dan kualitas lebih baik, yaitu persentase butir kapur lebih rendah dibandingkan dengan varietas peka (Tanamachi et al, 2016).…”

unclassified

See 1 more Smart Citation

Seleksi Generasi Awal untuk Toleransi terhadap Suhu Tinggi pada Padi

Wirnas¹,

Jaisyurahman²,

Marwiyah³

et al. 2020

J. Agron. Indonesia

View full text Add to dashboard Cite

The impacts of high-temperature stress on rice growth and productivity can be mitigated by growing tolerant varieties. This research was conducted to estimate the genetic parameters and to select the best genotypes based on the susceptibility stress index (SSI) values. This research was conducted from August 2016 to February 2017. Half of the five weeks seedling tiller of each F3 plant was transferred to new pot culture so that each genotype of the F3 rice population grown in two pots. At the maximum vegetative phase, the parental and F3 populations were treated under two different temperatures: in the open ground area and inside a greenhouse with daily mean temperatures of 38.89/22.67 °C dan 41.62/23.32 °C, respectively. The traits observed were yield and yield components. The results showed that the grain yield of the parents and the F3 population were lower when grown inside the greenhouse. The filled grain number per panicle was controlled by additive gene action in these two environments, and is suggested to be a selection character. Selection based on SSI index obtained 13 genotypes tolerant to heat stress and had higher yield compared to their parents. SSD method combined with shuttle breeding is recommended as a breeding method to produce tolerant and high yielding lines. Keywords: heat stress, heritability, segregating population, SSI

show abstract

“…High temperature is a significant limiting factor in supporting the productivity and quality of rice harvests (Liu et al, 2013). Jaisyurahman et al (2020) reported that high temperatures 32.72 °C after the generative phase in rice affected the character of the total number of tillers, the number of filled grains per panicle, the number of empty grains per panicle, the total number of grains per panicle, the rate of seed filling, the percentage of filled grain and the total grain weight per plant. Heat stress over a long period of time in several tomato cultivars resulted in a significant decrease in all reproductive traits, such as pollen viability, pollen count, mud fertility, fruit set and number of flowers per flowering (Xu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Physiological Responses of Indigenous Vegetable of Sintrong (Crassocephalum crepidioides) due to Exposure to High Temperature

Utama

Kurniawati²,

Faridah³

2023

Caraka Tani J. Sustain. Agric.

View full text Add to dashboard Cite

Sintrong is an Indonesian indigenous vegetable with leaves used for vegetables, digestive disorders, and burns. Changes in the environment due to an increase in temperature affect the growth and quality of sitrong, and its existence in the nature is threatened. This study aims to obtain information about the effect of exposure to high temperatures on the physiological character and flavonoid content of indigenous sintrong vegetables and obtain accession of sintrong, which can be developed as a functional vegetable. The Nested randomized group design was applied with two factors, temperature differences as the main plot and accession as a second plot. Four replications were conducted for each accession in the Cikabayan experimental garden of IPB. The results showed that exposure to high temperatures up to 32 °C increased the speed of flowering age, which was 4.76% and 7.14% faster and showed a high wilting rate of 36.66%, but decreased leaf area index up to 30.30% and 42.42% at the conditions above ambient temperature exposure (control). Flavonoid content did not show any effect due to exposure to high temperatures. The flavonoid content reached 1695.38 and 1834.83 mg QE 100 g<sup>-1</sup>. Bogor 1 accession showed the best performance so that the plants can be developed for functional vegetables. Based on the research findings, sintrong should be harvested earlier before flowering to obtain high leaf production and good-quality vegetables.

show abstract

Dampak Suhu Tinggi terhadap Pertumbuhan dan Hasil Tanaman Padi

Cited by 6 publications

References 13 publications

Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine

Curating Multimodal Satellite Imagery for Precision Agriculture Datasets with Google Earth Engine

Seleksi Generasi Awal untuk Toleransi terhadap Suhu Tinggi pada Padi

Physiological Responses of Indigenous Vegetable of Sintrong (Crassocephalum crepidioides) due to Exposure to High Temperature

Contact Info

Product

Resources

About