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Journal of Integrative Agriculture
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Cultivar selection can increase yield potential and resource use efficiency of spring maize to adapt to climate change in Northeast China
SU Zheng-e, LIU Zhi-juan, BAI Fan, ZHANG Zhen-tao, SUN Shuang, HUANG Qiu-wan, LIU Tao, LIU Xiao-qing, YANG Xiao-guang
2021, 20 (
2
): 371-382. DOI:
10.1016/S2095-3119(20)63359-7
Abstract
(
101
)
PDF in ScienceDirect
Northeast China (NEC) is one of the major maize production areas in China. Agro-climatic resources have obviously changed, which will seriously affect crop growth and development in this region. It is important to investigate the contribution of climate change adaptation measures to the yield and resource use efficiency to improve our understanding of how we can effectively ensure high yield and high efficiency in the future. In this study, we divided the study area into five accumulated temperature zones (ATZs) based on growing degree days (GDD). Based on the meteorological data, maize data (from agro-meteorological stations) and the validated APSIM-Maize Model, we first investigated the spatial distributions and temporal trends of maize potential yield of actual planted cultivars, and revealed the radiation use efficiency (RUE) and heat resource use efficiency (HUE) from 1981 to 2017. Then according to the potential growing seasons and actual growing seasons, we identified the utilization percentages of radiation (
P
R
) resource and heat resource (
P
H
) for each ATZ under potential production from 1981 to 2017. Finally, we quantified the contributions of cultivar changings to yield,
P
R
and
P
H
of maize. The results showed that during the past 37 years, the estimated mean potential yield of actual planted cultivars was 13 649 kg ha
–1
, ranged from 11 205 to 15 257 kg ha
–1
, and increased by 140 kg ha
–1
per decade. For potential production, the mean values of RUE and HUE for the actual planted maize cultivars were 1.22 g MJ
–1
and 8.58 kg (°C d)
–1
ha
–1
. RUE showed an increasing tendency, while HUE showed a decreasing tendency. The lengths of the potential growing season and actual growing season were 158 and 123 d, and increased by 2 and 1 d per decade.
P
R
and
P
H
under potential production were 82 and 86%, respectively and showed a decreasing tendency during the past 37 years. This indicates that actual planted cultivars failed to make full use of climate resources. However, results from the adaptation assessments indicate that, adoption of cultivars with growing season increased by 2–11 d among ATZs caused increase in yield,
P
R
and
P
H
of 0.6–1.7%, 1.1–7.6% and 1.5–8.9%, respectively. Therefore, introduction of cultivars with longer growing season can effectively increase the radiation and heat utilization percentages and potential yield.
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Understanding the metabolism of
Mycoplasma mycoides
subsp.
capri
in vitro
by a transcriptomic analysis
WANG Xiao-hui, WANG Yan-fang, HUANG Hai-bi, BAI Fan, SHI Xiao-na, MA Chang-jiao, GAO Yuan, ZHANG Jian-hua, ZHANG Wen-guang, HAO Yong-qing
2018, 17 (
2
): 428-435. DOI:
10.1016/S2095-3119(17)61747-7
Abstract
(
797
)
PDF in ScienceDirect
It is generally known that the culture for mycoplasma is time-consuming and a variety of nutrients are needed in the culture medium. This brings a lot of difficulties to mycoplasma research and application, including
Mycoplasma mycoides
subsp.
capri
(Mmc). Furthermore, little research on the characteristics of Mmc metabolism has been reported. In this study, Mmc PG3 strain cultures were investigated for dynamic gene expression. Culture samples were harvested during logarithmic phase (PG3-1), stationary phase (PG3-2), decline phase (PG3-3) and late decline phase (PG3-4). Twelve RNA samples (three replicates for each of the four growth stages considered) from these cultures were collected and sequenced. Paired comparison between consecutive growth phases in the four growth stages showed 45 significant differentially expressed genes (
P
<0.01) were linked to PG3 metabolism. The enzymes these genes coded were mainly involved in ATP synthase, pyrimidine metabolism, nicotinate and nicotinamide metabolism, arginine and proline metabolism. Among these, cytidylate kinase, fructose 1,6-bisphosphate aldolases Class II, nicotinate-nucleotide adenylyltransferase and dihydrolipoamide dehydrogenase play a key role in Mmc metabolism. These results provide a baseline to build our understanding of the metabolic pathway of Mmc.
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