scholarly journals The Perfect Match: Adjusting High Tree Density to Rootstock Vigor for Improving Cropping and Land Use Efficiency of Sweet Orange

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2569
Author(s):  
Eduardo Augusto Girardi ◽  
João Gabriel Panegossi Sola ◽  
Marcelo da Silva Scapin ◽  
Alécio Souza Moreira ◽  
Renato Beozzo Bassanezi ◽  
...  

The rise in the productivity of sweet orange in Brazil has been related to the use of superior rootstocks and higher tree density, among other factors. In order to investigate whether the cropping system and the land use efficiency would benefit from more intensive cultivation, the performance of Valencia sweet orange was evaluated over nine years on four rootstocks, which induced contrasting vigor, at 513, 696 and 1000 trees·ha−1. Agronomic Institute of Campinas (IAC) 1697 and IAC 1710 citrandarins, and diploid and allotetraploid (4×) Swingle citrumelos were classified as semi-dwarfing, super-standard, standard, and dwarfing rootstocks, respectively. The fruit yield per tree was decreased at higher tree densities, notably for more vigorous rootstocks. Conversely, the cumulative productivity was increased over the evaluation period by 27% at 1000 trees·ha−1, irrespective of the rootstock, and the most vigorous rootstock resulted in 2.5 times higher production than the dwarfing one on average. Most fruit quality parameters were seldom influenced by the tree density, while the rootstock was a decisive factor in improving the quality and the soluble solids content. Dwarfing rootstocks allowed for harvesting 17% more fruit per minute by manual pickers. Because the tree row volume per area is lower with such rootstocks, even at higher tree density, spray volume can be reduced, although appropriate equipment should be developed for better spray coverage on smaller trees. Nine years after planting under strict vector control, the cumulative incidence of huanglongbing-symptomatic trees on IAC 1710 was double that on Swingle 4×. Taken together, the results suggested that the land use efficiency in the citrus industry can be further improved by planting vigorous rootstocks at moderate to high tree densities. Nevertheless, obtaining highly productive semi-dwarfing and dwarfing rootstocks is the sine qua non for making high-density pedestrian sweet orange orchards more profitable.

1992 ◽  
Vol 28 (3) ◽  
pp. 287-294 ◽  
Author(s):  
C. S. Wortmann ◽  
T. Sengooba ◽  
S. Kyamanywa

SummaryBeans and bananas were grown in sole crop and intercrop systems for three seasons in 1989 and 1990 to determine the effects of cropping system on diseases, insects and land-use efficiency and the roles of certain bean plant physiological traits on bean yield in the two systems.Bean yield in the intercrop system was 52% of bean sole crop yield. Shading reduced yield, but stem starch levels, chlorophyll content and the chlorophyll a:b ratio were not related to seed yield in either system. Leaf area index was linearly related to yield in the intercrop system, suggesting that a higher plant density may result in higher yields. Nutrient concentration levels in the foliar tissues indicated that low potassium and high manganese availability constrained intercrop bean yield. Leaf manganese levels were higher in beans grown under bananas, reaching levels normally considered toxic for beans. Competition for other nutrients did not appear to affect bean yield. Apparently, interspecies competition for soil moisture did not much reduce bean yields as moisture levels did not differ with cropping system. Disease and insect pest levels were similar for the two bean production systems.Banana yields were associated with potassium levels in the soil. Bananas appeared to be more competitive than beans in the intercrop system. The land equivalent ratio of the banana and bean intercropping system over the three seasons was 1.60.


2020 ◽  
Vol 18 (3) ◽  
pp. 153
Author(s):  
Andrestu Kesuma ◽  
Niar Nurmauli ◽  
Paul B. Timotiwu ◽  
Herawati Hamim

Mixed cropping of corn and peanut in “double row” is expected increase efficiency of ureafertilizing and efficiency of land utilization. This research aimed to evaluate the efficiency ofthe urea fertilizing on corn production and to evaluate the efficiency of land utilization in“double row” mixed with peanut. The research conducted in Field of Laboratory LapangTerpadu and Laboratory Ilmu Tanam Faculty of Agriculture University of Lampung fromJuly to October 2014. The experiment used Complete block design with nine treatments andthree replications. The results showed that intercropping of corn “double row” and peanutsdid not affect the efficiency of urea. However, the cropping system increased land utilization.The value of land use efficiency based on yield per hectare has the highest yield at a dose of300 kg urea/ ha that is equal to 1,76. While giving urea fertilizer at dose 0, 50, 100, 150,200, and 250 kg/ ha shows the efficiency of land use amounted to 1,18; 1,20; 1,31; 1,53;1,66; and 1,44.


Author(s):  
Mokidul Islam ◽  
L. K. Nath ◽  
T. Samajdar

A field experiment was conducted at Instructional Farm of ICAR- Krishi Vigyan Kendra, Tura during kharif, pre-rabi and rabi season of 2011-12 to 2013-14 to determine the suitable production potential, profitability, resource use efficiency and sustainability of diversified maize-legumes cropping system. The five cropping sequences viz., CS1: Maize + Blackgram (1:2) – green gram + maize (2:1) – tomato, CS2: maize + green gram(1:2) – green gram + maize (2:1) – tomato, CS3: maize + groundnut(1:2) – green gram + maize (2:1) – tomato, CS4: maize + Ssybean(1:2) – tomato and CS5: maize sole – green gram – tomato were replicated four times using a randomized block design on sandy loam soil with low to medium fertility level and slightly acidic in reaction. The cropping system “Maize + Green gram(1:2) – green gram + maize (1:1) – tomato” was found to be most remunerative and sustainable with system productivity (175.49 q/ha), net return (Rs.3,38,725/ha), profitability (Rs. 928.01 /ha/day), benefit cost ratio (4.40), sustainable yield index (1.00), production efficiency (Rs.58.30/ha/day), relative economic efficiency (162.72%), except land use efficiency(LUE) which was the highest (85.75%) in “maize + groundnut(1:2) – green gram + maize (1:1) – tomato” cropping system. The lowest system productivity, net returns, profitability, production efficiency, land use efficiency etc was found in maize+ soybean (1:2)- tomato followed by maize-greengram-tomato cropping system. Hence, the cropping sequence maize + green gram(1:2) – green gram + maize (1:1) – tomato and maize + groundnut(1:2) – green gram + maize (1:1) – tomato were found to be the productive, profitable, remunerative, resource use efficient and sustainable in the mid hills sub-tropical regions of India.


Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 715
Author(s):  
Yingkai Tang ◽  
Kun Wang ◽  
Xuanming Ji ◽  
He Xu ◽  
Yangqing Xiao

Rapid urbanization has provided a strong impetus for the economic growth of China, but it has also caused many problems such as inefficient urban land use and environmental pollution. With the popularization of the concept of green and sustainable development, the Environmental-Social-Governance (ESG) assessment concept is widely accepted. The government and residents are paying more and more attention to environmental issues in urban development, and environmental protection has formed an important part of urban development. In this context, this study takes 26 cities in the Yangtze River Delta as examples to build an evaluation system for urban land-use efficiency under green development orientation. The evaluation system takes into account the inputs of land, capital, labor, and energy factors in the process of urban development. Based on emphasizing economic output, the social benefits and undesired outputs brought about by urban development are taken into account. This paper measures urban land use efficiency by the super-efficiency SBM model, and on this basis, analyses the spatial-temporal evolution characteristics of urban land-use efficiency. Further, this paper measures urban land use efficiency without considering undesired outputs and compares the two evaluation methods. Again, the comparison illustrates the rationality of urban land use efficiency evaluation system under green development orientation.


Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 303
Author(s):  
Xinhai Lu ◽  
Yifeng Tang ◽  
Shangan Ke

The construction and operation of high-speed rail (HSR) has become an important policy for China to achieve efficiency and fairness and promote high-quality economic growth. HSR promotes the flow of production factors such as labor and capital and affects economic growth, and may further affect urban land use efficiency (ULUE). To explore the impact of HSR on ULUE, this paper uses panel data of 284 cities in China from 2005 to 2018, and constructs Propensity Score Matching-Differences in Differences model to evaluate the effect of HSR on ULUE. The result of entire China demonstrates that the HSR could significantly improves the ULUE. Meanwhile, this paper also considers the heterogeneity of results caused by geographic location, urban levels and scales. It demonstrates that the HSR has a significantly positive effect on ULUE of Eastern, Central China, and large-sized cities. However, in Western China, in medium-sized, and small-sized cities, the impact of HSR on ULUE is not significant. This paper concludes that construction and operation of HSR should be linked to urban development planning and land use planning. Meanwhile, the cities with different geographical locations and scales should take advantage of HSR to improve ULUE and promote urban coordinated development.


Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 657
Author(s):  
Aiping Wang ◽  
Weifen Lin ◽  
Bei Liu ◽  
Hui Wang ◽  
Hong Xu

Frontier research primarily focuses on the effect of urban development models on land use efficiency, while ignoring the effect of new-type urban development on the green land use efficiency. Accordingly, this paper employs a super efficiency slacks-based measure (super-SBM) model with undesirable outputs to measure the green land use efficiency based on panel data from 152 prefecture-level cities for the period 2004–2017. We construct a difference-in-differences (DID) model in this paper to test the impact of smart city construction on the green utilization efficiency of urban land and its transmission mechanism. The results showed that: (1) The smart city construction significantly improved the green utilization efficiency of urban land, increasing the general efficiency by 15%. (2) There is significant city-size heterogeneity in the effect of smart city construction on improving green utilization efficiency of urban land. The policy effect is more obvious in mega cities and above than in very-large-sized cities. (3) The city-feature heterogeneity results reveal that, in cities with a higher level of human capital, financial development, and information infrastructure, the effectiveness of smart city construction in improving the green utilization efficiency of urban land are more obvious, and in cities with a higher level of financial development, the effects of the urban policy were more optimal. (4) The smart city construction promotes the green utilization efficiency of urban land through by the information industry development and the regional innovation capabilities.


Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Wei Chen ◽  
Rui He ◽  
Qun Wu

With the rapid and unbalanced development of industry, a large amount of cultivated land is converted into industrial land with lower efficiency. The existing research is extensively concerned with industrial land use and industrial development in isolation, but little attention has been paid to the relationship between them. To help address this gap, the paper creates a new efficiency measure method for industrial land use combining Subvector Data Envelope Analysis (DEA) with spatial analysis approach. The proposed model has been verified by using the industrial land use data of 30 Chinese provinces from 2001 to 2013. The spatial autocorrelation relationship between industrial development and industrial land use efficiency is explored. Furthermore, this paper examines the effects of industrial development on industrial land use efficiency by spatial panel data model. The results indicate that the industrial land use efficiency and the industrial development level in the provinces of eastern region are higher than those of the western region. The spatial distribution of industrial land use efficiency shows remarkable positive spatial autocorrelation. However, the level of industrial development has obvious negative spatial autocorrelation since 2009. The improvement of industrial development has a significant positive impact on the industrial land use efficiency.


2015 ◽  
Vol 21 (5) ◽  
pp. 747-758 ◽  
Author(s):  
Hannah H. E. van Zanten ◽  
Herman Mollenhorst ◽  
Cindy W. Klootwijk ◽  
Corina E. van Middelaar ◽  
Imke J. M. de Boer

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