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Table 1 Basic information of the three experiments

From: Improving the prediction performance of leaf water content by coupling multi-source data with machine learning in rice (Oryza sativa L.)

Experiment

Year

Cultivar

Soil water potential

Sampling stage

Sowing/Harvesting date

Soil characteristics

Exp.1 (Hefei, 31° 48′ N, 117° 23′ E)

2021

Hanyou 73 (HY-73)

Huanghuazhan (HHZ)

Huaidao 5 (HD-5)

0 KPa

− 15 KPa

− 30 KPa

Booting

Flowering

Initial grain filling

Middle grain filling

July 5th /

November 20th

Type: sandy loam soil

Organic matter: 14.81 g kg−1

Total N: 0.97 g kg−1

Available P: 21.06 mg kg−1

Available K: 96.29 mg kg−1

Exp.2 (Hefei, 31° 48′ N, 117° 23′ E)

2022

Hanyou 73 (HY-73)

Huanghuazhan (HHZ)

Huiliangyou 898 (HLY-898)

0 KPa

− 15 KPa

− 30 KPa

Booting

Flowering

Initial grain filling

Middle grain filling

May 23th/

September 26th

Type: sandy loam soil

Organic matter: 15.39 g kg−1

Total N: 1.00 g kg−1

Available P: 22.67 mg kg−1

Available K: 98.10 mg kg−1

Exp.3 (Fuyang, 32° 39′ N, 116° 15′ E)

2022

Hanyou 73 (HY-73)

Huanghuazhan (HHZ)

0 KPa

Booting

Flowering

Initial grain filling

Middle grain filling

May 26th/

September 29th

Type: sandy loam soil

Organic matter: 17.77 g kg−1

Total N: 0.95 g kg−1

Available P: 14.18 mg kg−1

Available K: 65.23 mg kg−1