Browsing by Subject "Maisanbau"

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Adaption to rainfall and temperature variability through integration of mungbean in maize cropping
(2021) Khongdee, Nuttapon; Cadisch, Georg
Climate change has threatened global agricultural activities, particularly in tropical and subtropical regions. Rainfed cropping regions have become under more intense risk of crop yield loss and crop failure, especially in upland areas which are also prone to soil erosion. In Thailand, maize is one of the important economic crops and mostly grown in upland areas of northern regions. Maize yield productivity largely depends on the onset of seasonal rainfall. Uncertainty of seasonal rainfall adversely affects maize yield productivity. Therefore, coping strategies are urgently needed to stabilize maize yields under climate variability. In order to identify suitable coping strategies, early maize sowing and maize and mungbean relay cropping were tested on upland fields of northern Thailand. The specific aims of this thesis were (i) monitoring growth and yield performance of maize and mungbean under relay cropping, (ii) testing early maize sowing and maize – mungbean relay cropping as coping strategies under rainfall variations (Chapter 2), (iii) testing effects of relay cropping on growth and yield of mungbean under weather variability (Chapter 4), (iv) determining suitable sowing dates under erratic rainfall patterns by using a modelling approach (Chapter 3), and (v) developing a technique for diagnosis of crop water stress in maize by thermal imaging technique (Chapter 5). Specifically, in Chapter 2 early maize planting or relay cropping strategies were assessed for growth and yield performance of maize under heat and drought conditions. Maize planted in July showed, regardless of sole or relay cropping, low grain formation as a consequence of adverse weather conditions during generative growth. However, July-planted maize relay cropping produced higher above ground biomass than July-planted maize sole cropping and early planting of maize in June. Despite unfavourable weather conditions, maize was, at least partly, able to compensate for such effects when relayed cropped, achieving a higher yield compared to maize sole cropping. June-planted maize sole cropping, however, was fully able to escape such a critical phase and achieved the highest grain yield (8.5 Mg ha-1); however, its associated risk with insufficient rain after early rain spells needs to be considered. Relay cropping showed to be an alternative coping strategy to cope with extreme weather as compared to maize sole cropping. However, relay cropping reduced maize growth due to light competition at young stages of maize before mungbean was harvested (Chapter 2). This negative impact of relay cropping is partly off-set by considering of land equivalent ratio (Chapter 4). Land equivalent ratio indicated a beneficial effect of relay cropping over maize and mungbean solecropping (LER = 2.26). During high precipitation, mungbean sole cropping produced higher yield (1.3 Mg ha-1) than mungbean relay cropping (0.7 Mg ha-1). In contrast to the period of low precipitation, mungbean relay cropping used available water more efficiently and was able to establish its plant, while mungbean sole cropping could not fully withstand severe drought and heat. Mulching effects of maize residues conserved soil water which was then available for mungbean to grow under extreme weather condition. WaNuLCAS modelling approaches can be used to support the decision of maize sowing date in northern Thailand to cope with climate change as indicated by goodness of fit of the model validation (R2 = 0.83, EF = -0.61, RMSE = 0.14, ME = 0.16, CRM = 0.02 and CD = 0.56) (Chapter 3) using forty-eight-year of historical rainfall patterns of Phitsanulok province. Only 27.1% of rainfall probability was classified as a normal rainfall condition. Consequently, maize in this region had faced with high rainfall variability. From long term simulation runs, the current maize sowing date led to strong maize yield variation depending on rainfall condition. Early maize sowing i.e. 15 and 30 days before farmers and staggered planting produced higher yield than current farmers’ practice (mid of July) in most conditions (91.7%). Simulations revealed that water was the most limiting factor affecting maize growth and yield while nutrients (N and P) had only limited impact. Results of the WaNuLCAS model could be used to identify optimal maize planting date in the area prone to soil erosion and climate variation of northern Thailand; however, the model cannot fully account for heat stress. Thermal imaging technique is a useful method for diagnose maize water status. As presented in chapter 5, the developed Crop Water Stress Index (CWSI) using a new approach of wet/dry references revealed a strong relationship between CWSI and stomatal conductance (R2 = 0.82). Our study results established a linear relationship to predict final maize grain yield and CWSI values at 55 DAS as follows “Yield = -16.05×CWSI55DAS + 9.646”. Both early planting of maize and/or relay cropping with legumes are suitable coping strategies for rainfall variability prone regions. The positive response of early planting and legume relay cropping offers the opportunity of having a short-duration crop as sequential crop, providing an additional source of protein for humans and fostering crop diversification on-site. This leads to a win-win situation for farmers, food security and the environment due to an enhanced sustainability of this cropping system.
Designing, modeling, and evaluation of improved cropping strategies and multi-level interactions in intercropping systems in the North China Plain
(2010) Knörzer, Heike; Claupein, Wilhelm
Adjusting cropping systems in order to increase their efficiency is a global issue. High yield and sustainability are the catchphrases of production in the 21st century, and agricultural production has to solve the balancing act between ecology and economy. Therefore, the requests for farmers, consultants and researchers are rising, and production modes are changing. Nevertheless, solutions have to be detected spatially explicit and locally adapted and accepted in order to be implemented successfully. Taking the North China Plain as an example, the productivity of arable land needs to be further increased by applying strategies to reduce or avoid negative environmental effects. Further yield increases are not possible by increasing input factors like N-fertilizer or irrigation water as N-fertilizer rates are extremely high and irrigation water is limited. However, yield increases might be possible by developing improved cropping strategies operated by cropping designs. Taking modeling and simulation tools into account back up the acceleration of research attainments and the understanding of cropping systems. The present thesis embraces the designing and modeling of such a potential cropping system, to wit strip intercropping. Thus, the main goals of the study were to analyze, design, evaluate, and in the end model intercropping. Intercropping systems are complex systems which strongly need to be designed and evaluated carefully in order to fulfill the premises of ecological and economical efficiency as well as sustainability. Multi-level interactions have to be weighted and taken into regard for evaluating datasets applicative for modeling and simulating intercropping. The main results of the study indicated, that traditional cropping systems like intercropping are widespread in China, where approximately one third of arable land is under intercropping. Reviewing cereal intercropping systems in China, the four agro-ecological regions ?Northeast and North?, the ?Northwest?, the ?Yellow-Huai River Valley? and the ?Southwest? could be classified, distinguished and described. Intercropping offers a great variation of species combination, benefits as well as challenges for cropping systems design and farmers. Carefully balanced between facilitation and competition, intercropping bears the potential of increased yield and yield stability, income security, resource use efficiency and biodiversity. Intercropping gives evidence about traditional cropping systems with the potential for future production systems under the paradigm of sustainability. Further, results from conducted field experiments indicated that border effects are the key component of intercropping performance. Nevertheless, analyzing strip intercropping statistically has peculiarities as they lack in randomization because the cropping system imposes alternating strips. Thus, spatial variability and its effect on yield were regarded differently within a geo-statistical analysis. In addition to the geo-statistical analysis, the crop growth modeling approach paid tribute to monocropping effects as well as to field border effects occurring in strip intercropping systems. Further on a model-based approach was tested to quantify multi-level interactions with special regard to changing microclimatic conditions and to optimize intercropping systems from an agronomical point of view. In comparison to other interspecific competition modeling approaches, a shading algorithm was evaluated and implemented into the process-oriented crop growth model DSSAT in order to simulate competition for solar radiation. More common in modeling mixed intercropping, a modified Beer?s law subroutine has been used instead, e.g. in APSIM. APSIM and DSSAT were compared by modeling the conducted field trials. As a result, the Beer?s law approach was not capable to model strip intercropping. In contrast, the modeling with a changed DSSAT model showed that applying a simple shading algorithm that estimated the proportion of shading in comparison to the monocropping situation and in dependency from neighboring plant height seems to be a promising approach. The results indicated that competition for solar radiation in those systems is a driving force for crop productivity but neither the most dominant nor the one and only. Resource distribution and allocation in space and time seems to be more important than the total amount of resources. Those effects have to be taken into account when simulating interspecific competition.
Soil conservation methods and their impact on nitrogen cycling and competition in maize cropping systems on steep slopes in Northwest Vietnam
(2015) Vu Dinh, Tuan; Cadisch, Georg
Recent maize cultivation expansion into steep forested uplands in Vietnam led to severe erosion, soil degradation, and strong environmental impacts. Despite effectively controlling erosion, conservation measures often reduce crop yields due to resource competition. To foster uptake of soil conservation, a study including two experiments with bounded plots at two communes - Chieng Hac (21.02° N, 104.37° E, inclination: 53%) and Chieng Khoi (21.02° N, 104.32° E, inclination: 59%) - was carried out over a period of three years (2009-2911). The treatments included maize monocropping under intensive tillage and fertilization (T1, control), maize with Panicum maximum as grass barrier (T2), maize under minimum tillage (MT) with Pinto peanut (Arachis pintoi) as cover crop (T3), and maize under MT and relay cropped with Adzuki beans (Phaseolus calcaratus) (T4). Soil loss in 2010 and 2011 were also measured using sediment fences on unbounded maize fields under current farmers’ practice. The first part of the study assessed the magnitude of erosion and the mitigation potentiality of soil conservation measures. Under farmers’ practice, annual soil losses of bounded plots reached up to 174 t ha-1, being much higher than those from unbounded fields (up to 111 t ha 1). The majority of the soil loss occurred early in the season, when high rainfall intensities coincided with a low percent ground cover (<30%). To keep erosion rates below a tolerable soil loss (3 t/ha/yr) on steep slopes (53-59%) under an average annual rainfall of 1270 mm, a theoretical minimum ground cover of 95% is required at the onset of the crop season which was hardly achievable under monoculture system. Under conservation measures erosion was reduced by 39-84% in grass barriers or by 93-100% in MT with cover crops. A yield decline of 26% was observed in grass barrier treatments or up to 35% of cover crop plots if Pinto peanuts were not cut on time. Both options provided animal feed, up to 5.5 t/ha/yr dry matter of grass or 1.8 t/ha/yr dry matter of Pinto peanuts. Despite these potential benefits, constraints such as labour for grass barriers and cover crop establishment and cutting it afterwards, or difficulties in accessing and collecting maize cobs due to proliferate growth of Adzuki beans may hinder adoption by local farmers. To increase the incentive for adoption, the conservation system also has to use N fertilizer more efficiently. Therefore, the second part of the study examined the fate of applied 15N-labelled urea at the Chieng Hac site in 2010. At harvest, 21.6% of the labelled 15N was recovered by maize in T1, 8.9% in T2, 29% in T3, and 30.9% in T4. In T2, maize and P. maximum competed heavily for N with a total of 23.6% of the applied 15N found in the barriers next to application point. About 46-73% of the maize N uptake was derived from the soil, showing the important role of inherent soil N in these fertilized systems. MT reduced 15N translocation to deeper soil layers (40-80 cm), indicating a safety net function. Downslope translocation (>17 m) of applied 15N was <0.1 kg ha-1 as the majority of 15N added was vertically translocated and intercepted by plants along the slope. Despite implementation of an improved fertilization method, approximately 24-46% of N-fertilizer was unaccounted for, presumably lost via volatilization, denitrification, and leaching below 80 cm. Measured data for plot level showed that current farming practice (T1) induced a negative N balance of -142 kg N ha-1 in which residue burning and erosion were major pathways for N losses. A less severe negative N balance in T2 was attributed to reduced N losses by erosion while positive N balances of MT treatments were accredited to strongly reduced N losses via erosion and abandonment of burning plant residues in these treatments. The third part of the study investigated causes of competition in conservation systems three years after their establishment (2011). A pre-test at Chieng Hac in 2010 showed that abundance of water and the lack of N fertilization induced low grain N concentrations, enriched 15N;13C values in leaves, and reduced maize grain yield. This pattern was also observed in maize rows grown next to grass barriers or in cover crop plots at Chieng Khoi under good water availability conditions, indicating that these yield declines were mainly forced by lack of N. Additionally, a positive water balance throughout the maize cropping season further confirmed that water stress was absent. Moreover, enriched 15N values of maize rows close to the barriers suggested that these plants had to rely on soil N rather than on 15N derived from fertilizer N. Similarly, results of MT with simultaneous growth of A. pintoi pointed to N competition, resulting in a maize yield decline due to vigorous cover crop growth in T3. In contrast, MT with a relay crop (T4) had a similar maize yield, leaf N concentration, d15N, d13C as the control, suggesting N and water competition did not occur. In conclusion, soil erosion and nitrogen balances of current farming practice showed the urgent need to safeguard land resources, counteracting soil degradation but maintaining crop yields. The tested conservation techniques provide a range of characteristics to be considered as a sustainable system. The grass barrier as well as conservation systems controlled erosion, while minimum tillage with a cover crop further improved the nitrogen balance, and finally minimum tillage with a relay crop adds another advantage in maintaining crop production. Likelihood of adoption, however, may vary with how well appropriate incentives and land use policy fit to the area.