导航切换
Journal of Integrative Agriculture
JIA Home
About JIA
Description
Video introduction
Editor-in-chief
Editorial board
Guideline of JIA editorial board
Editorial board
Youth Editorial Board
For authors
Instruction for authors
Title page
Copyright agreement
Templates
Endnote
Subscription
Contact
Journals
Publication Years
Keywords
Search within results
(((HUANG He[Author]) AND 1[Journal]) AND year[Order])
AND
OR
NOT
Title
Author
Institution
Keyword
Abstract
PACS
DOI
Please wait a minute...
For Selected:
Download Citations
EndNote
Ris
BibTeX
Toggle Thumbnails
Select
Effect of side deep placement of nitrogen on yield and nitrogen use efficiency of single season late
japonica
rice
ZHAO Can, HUANG Heng, QIAN Zi-hui, JIANG Heng-xin, LIU Guang-ming, XU Ke, HU Ya-jie, DAI Qi-gen, HUO Zhong-yang
2021, 20 (
6
): 1487-1502. DOI:
10.1016/S2095-3119(20)63362-7
Abstract
(
166
)
PDF in ScienceDirect
Side deep placement of nitrogen plays an important role in improving rice yield and nitrogen use efficiency. Few studies have examined the effects of reducing the times of nitrogen (RTN) application and reducing the nitrogen rate (RNR) of application on rice yield and nitrogen use efficiency under side deep placement of nitrogen in paddy fields. Therefore, a field experiment of RNT and RNR treatments was conducted with nine fertilization modes during the 2018–2019 rice growing seasons in a rice–wheat cropping system of the lower reaches of the Yangtze River, China. Rice yield and nitrogen use efficiency were investigated under side deep placement of nitrogen. We found that under the same nitrogen application rate, the yield of RTN3 increased by 9.64 and 10.18% in rice varieties NJ9108 and NJ5718, respectively, compared with the farmers’ fertilizer practices (FFP). The nitrogen accumulation of RTN3 was the highest at heading stage, at 11.30 t ha
–1
across 2018 and 2019. Under the same nitrogen application rate, the N agronomic use efficiency (NAE), N physiological efficiency (NPE) and N recovery efficiency (NRE) of RTN3 were 8.1–21.28%, 8.51–41.76% and 0.28–14.52% higher than those of the other fertilization modes, respectively. RNR led to decreases in SPAD value, leaf area index (LAI), dry matter accumulation, nitrogen accumulation, and nitrogen use efficiency. These results suggest that RTN3 increased rice yield and nitrogen use efficiency under the side deep placement of nitrogen, and RNR1 could achieve the goals of saving cost and increasing resource use efficiency. Two fertilization modes RTN3 and RNR1 both could achieve the dual goals of increasing grain yield and resource use efficiency and thus are worth further application and investigation.
Reference
|
Related Articles
|
Metrics
Select
Unraveling waterlogging tolerance-related traits with QTL analysis in reciprocal intervarietal introgression lines using genotyping by sequencing in rapeseed (
Brassica napus
L.)
DING Xiao-yu, XU Jin-song, HUANG He, QIAO Xing, SHEN Ming-zhen, CHENG Yong, ZHANG Xue-kun
2020, 19 (
8
): 1974-1983. DOI:
10.1016/S2095-3119(19)62783-8
Abstract
(
116
)
PDF in ScienceDirect
Soil waterlogging is a major environmental stress that suppresses the growth and productivity of rapeseed (
Brassica napus
L.). Natural genetic variations in waterlogging tolerance (WT) were observed but no QTL mapping has been done for WT related traits in rapeseed. In this study, QTL associated with three WT related traits including relative root length (RRL), relative hypocotyl length (RHL) and relative fresh weight (RFW) were dissected using a set of reciprocal introgression lines (ILs) derived from the cross GH01×ZS9, which showed significant difference in WT. Genotyping-by-sequencing (GBS) of the populations were performed, totally 1 468 and 1 450 binned SNPs were identified for GIL (GH01 as the recurrent parent) and ZIL (ZS9 as the recurrent parent) population, respectively. A total of 66 distinct QTLs for WT at the seedling establishment stage including 31 for RRL, 17 for RHL and 18 for RFW were detected. Among the 66 QTLs, 20 (29.4%) QTLs were detected in both genetic backgrounds and then they were integrated into six QTL clusters, which can be targeted in rapeseed breeding for improvement of WT through marker-assisted selection (MAS). Based on the physical positions of SNPs and the functional annotation of the
Arabidopsis thaliana
genome, 56 genes within the six QTL cluster regions were selected as preliminary candidate genes, then the resequencing and transcriptome information about parents were applied to narrow the extent of candidate genes. Twelve genes were determined as candidates for the six QTL clusters, some of them involved in RNA/protein degradation, most of them involved in oxidation-reduction process. These findings provided genetic resources, candidate genes to address the urgent demand of improving WT in rapeseed breeding.
Reference
|
Related Articles
|
Metrics
Select
Numerical Simulation of Root Growth Dynamics of CO2-Enriched Hybrid Rice Cultivar Shanyou 63 Under Fully Open-Air Field Conditions
SUN Cheng-ming, LIU Tao, GUO Dou-dou, ZHUANG Heng-yang, WANG Yu-long , ZHU Jian-guo
2013, 12 (
5
): 781-787. DOI:
10.1016/S2095-3119(13)60261-0
Abstract
(
1359
)
PDF in ScienceDirect
Hybrid indica rice (Oryza sativa L.) cultivars play an important role in rice production system due to its heterosis, resistance to environmental stress, large panicle, and high yield potential. However, no attention has been given to its root growth dynamic responses to rising atmospheric CO2 concentration ([CO2]) in conjunction with nitrogen (N) availability. Free air CO2 enrichment (FACE) and N have significant effects on rice root growth. In this experiment, a hybrid cultivar Shanyou 63 (Oryza sativa L.) was used to study the effects of FACE and N levels on roots growth of rice. The results showed a significant increase in both adventitious root volume (ARV) and adventitious root dry weight (ARD) under the FACE treatment. The application of nitrogen also increased ARV and ARD, but the increase was smaller than that under FACE treatment. On the basis of the FACE experiment, numerical models for rice adventitious root volume and dry weight were built with the time as the driving factor. The models illustrated the dynamic development of rice adventitious root volume and dry weight after transplanting, regulated either by the influence factor of atmospheric [CO2] or by N application. The models were successfully used to predict ARV and ARD under FACE treatment in a different year with the predicted data being closely related to the actual experimental data. The model had guiding significance to growth regulation of rice root under the condition of atmospheric [CO2] rising in the future.
Reference
|
Related Articles
|
Metrics
Select
Agricultural Market Name Geo-Locating System Based on an Administrative Ontology and Web Search Engine
HU Yi-min, SONG Liang-tu, WEI Yuan-yuan, HUANG He, WANG Xue
2012, 11 (
5
): 849-857. DOI:
10.1016/S1671-2927(00)8607
Abstract
(
1222
)
PDF in ScienceDirect
The problem of associating the agricultural market names on web sites with their locations is essential for geographical analysis of the agricultural products. In this paper, an algorithm which employs the administrative ontology and the statistics from the search results were proposed. The experiments with 100 market names collected from web sites were conducted. The experimental results demonstrate that the algorithm proposed obtains satisfactory performance in resolving the problem above, thus the effectiveness of the method is verified.
Reference
|
Related Articles
|
Metrics
Select
Structured AJAX Data Extraction Based on Agricultural Ontology
LI Chuan-xi, SU Ya-ru, WANG Ru-jing, WEI Yuan-yuan, HUANG He
2012, 11 (
5
): 784-791. DOI:
10.1016/S1671-2927(00)8600
Abstract
(
1265
)
PDF in ScienceDirect
More web pages are widely applying AJAX (Asynchronous JavaScript XML) due to the rich interactivity and incremental communication. By observing, it is found that the AJAX contents, which could not be seen by traditional crawler, are well-structured and belong to one specific domain generally. Extracting the structured data from AJAX contents and annotating its semantic are very significant for further applications. In this paper, a structured AJAX data extraction method for agricultural domain based on agricultural ontology was proposed. Firstly, Crawljax, an open AJAX crawling tool, was overridden to explore and retrieve the AJAX contents; secondly, the retrieved contents were partitioned into items and then classified by combining with agricultural ontology. HTML tags and punctuations were used to segment the retrieved contents into entity items. Finally, the entity items were clustered and the semantic annotation was assigned to clustering results according to agricultural ontology. By experimental evaluation, the proposed approach was proved effectively in resource exploring, entity extraction, and semantic annotation.
Reference
|
Related Articles
|
Metrics