Study of heat units, growth and yield of barley (Hordeum vulgare L.) under different environments
Abstract
The experiment was laid out in split plot design with 12 treatments, having different combinations of three Date of sowing i.e D1= 20 October, D2=5 November, D3= 20 November and Row spacing i.e S1=15cm, S2=22.5cm, S3= 30 cm and S4=22.5cm bi-directional, replicated three times on sandy loam soil at Amritsar. From pooled data of rabi season 2022-23and 2023-24. It was observed that a significant increase in all growth characters, yield contributing characters, straw yield, grain yield was recorded with 5th November date of sowing of barley but remains at par with 20th October. On the other hand, it was found a significant increase in growth characters with S1=15cm while yield contributing characters except tiller count, straw yield and grain yield was found to be significantly higher with Spacing of 22.5cm bi-directional. Further, it has been found that from farmer point of view, sowing of barley with bi-directional spacing gives better yield, which is evident from superior B:C ratio. D1 (20th Oct) treatment indicated more heat load than other treatment of date of sowing D2 (5th Nov) and D3 (20th Nov).
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Introduction
Barley (Hordeum vulgare L.) is usually used as food for human beings and its grains have the largest use as animal feed all over the world. In addition, barley has some useful by-products, the most valuable being the straw which is used mainly for bedding purpose. It is also a valuable input to industries for extraction of malt to be utilized for brewing, baby foods, ayurvedic medicines and some liquor products. Barley contains 44.3 g carbohydrates, 0.7 g fat and 3.5 g proteins, and is a good source of magnesium, manganese, dietary fiber and selenium, copper, vitamin B1, chromium, phosphorus and niacin. Barley having low water requirement as compared to wheat offers a good scope for diversification in Rabi season. Furthermore, there is a great demand for quality raw seed malt in international market and most of it is used for brewing beer. It is also used for livestock feed as well as human food. Production trend of barley is declining due to lack of high yielding and superior quality varieties as well as management practices like appropriate sowing time, spacing, irrigation practices, fertilization application etc. Among these, sowing time has a great effect on growth and yield of barley. Varied climatic conditions may be responsible for the differences seen in the production of early and late sown crop. Early sown barley produces more tillers, heads and high yield than late sown crop. Very early planting of barley may expose the crop to higher temperature at tillering stage while late planting may result in low biomass production and poor grain development due to higher temperature conditions at the time of maturity, thus resulted in poor grain yield. It is reported that growth, yield attributes and protein content have different optimum sowing times (Singh et al., 2013) [4] . Further, row spacing also has a significant effect on yield and yield components, water use efficiency, tillering and light interception. Narrow row spacing may results in more heads than wider rows, but it may be that the crop will face higher and quick soil moisture depletion and less interception of light in narrow rows. Closer row spacing had significantly higher yield of dry fodder, crude protein and ether extract as compared to wider row spacing. Soil moisture is generally conserved for more critical stages in later season in the case of wider rows. As both sowing time and spacing of rows influence the various growth and yield components of barley, so it is imperative to find out the best combination under local climatic conditions. So, keeping the above views in consideration, the present study was planned to study the effect of sowing time, row spacing and interaction on growth and yield of barley.
Materials and Methods
The field experiment was set up at Students' Global Group of Institutes, Amritsar during Rabi season of 2022-23 and 2023-24. Amritsar is situated at 31º 38′ North latitude, 72 º 52′ East longitudes and at an attitude of 236 meters above mean sea level. This track is characterized by semi-humid climate, where both winters and summers are extreme. The soil of the experimental field was categorized as sandy loam. The soil tested low in organic carbon and available nitrogen (N). However, available phosphorus (15 kg ha -1 ) was found to be normal and potassium (150 kg ha -1 ) status was high. The soil pH and electrical conductivity values were within the normal range. The experiment was laid down in split plot design having three different times of sowing as main plot treatments i.e. October 20 (D1), November 5 (D2), November 20 (D3) and four different row spacings as sub plot treatments i.e. 15 cm (S1), 22.5 cm (S2), 30 cm (S3), 22.5 cm-bidirectional sowing (S4). The sowing of PL 807 variety of barley was done with recommended seed rate of 88 kg ha -1 . The crop was harvested manually with sickle after maturity. After drying, crop was weighed to record biological yield (q ha -1 ). Then threshing was done manually. The grain yield of each plot was recorded (q ha -1 ). The straw weight was recorded after deducting grain weight from the total bundle weight and expressed as straw yield in q ha -1 . Daily growing degree days (GDDs) (°C days) were calculated as under: Daily GDD = [(Tmax + Tmin)/2] -Tb Where, Tmax and Tmin represent the maximum and minimum temperatures in °C and Tb denotes the base temperature (minimum temperature at which growth ceases) 5°C was used as base temperature for next phenophases. Accumulated GDDs for different phenophases were calculated by summation of daily GDD of each developmental stage. Accumulated GDDs for each phenophase were multiplied with day length to calculate PTU. Heat use efficiency (HUE) was computed by using the below given formulae: HUE (kg ha-1 °C days-1) = Grain yield (kg ha-1)/ Accumulated GDDs (°C days)
Results and Discussion
Growth Analysis Maximum plant height was observed in crop sown on 5 th November (D2) but remained at par with D1. The problem behind lower plant height of D3 may be low temperature during vegetative growth. Maximum LAI was recorded with D2 (4.34) followed by D1 (3.73) and D3 (3.28). Maximum growth parameters like plant height, LAI and dry matter accumulation was recorded with S4 (95.34 cm) followed by S2 (94.20cm), S1 (92.57 cm) and S3 (90.10 cm). LAI decreased with decrease in row spacing from S4 (4.98) followed by S2 (4.04), S1 (3.17) and S3 (3.04). These results are in accordance with those of Angiras and Sharma (1996). D2 showed superiority in dry weight (22.82 g/plant) over D1 (17.16 g/plant) and D3 (19.35 g/plant) but remained at par with D3. Row spacing significantly affected dry weight. Maximum dry weight was observed with S4 (23.42 g/plant) followed by S2 (21.39g/plant), S1 (20.87 g/plant) and S3 (17.10 g/plant). These results are in confirmation with Singh et al. (2013) [4] who also reported that dry matter accumulation was decreased as the sowing of crop was delayed from October 20 to November 10. The maximum pant height, dry matter accumulation and LAI produced by D2 may be attributed due to favorable climatic conditions. Better growth of the crop was recorded with S4 due to uniform distribution and maximum interception of light which led to better height, dry matter accumulation and LAI.
Yield Parameters
The crop sown on November 5 produced significantly more yield attributes such as number of tillers, number of grains, 1000-grain weight and ear length than October 20 which might be due to exposure to higher temperature under date of sowing of 20 th October. However, sowing date November 20 remained at par with November 5 for yield attributes. More number of tillers under 20 th November might be due to prevalence of congenial climatic conditions during tillering period. Superiority of November 5 over other Sowing times may be due to exposure of crop to the favorable weather conditions. Maximum tillers were recorded with S4 followed by S2, S1 and S3. Decrease in spike length with delayed sowing may be due to low temperature exposure to the crop and in case of early sowing reason may be due to high temperature which led to decreased spike length. Among row spacing S4 produced significantly higher ear length, number of grains and 1000 grain weight than S1, S2 and S3 but S2 being at par with S1. Superiority of S4 over all other row spacing may be due to better interception of light from both sides i.e. plant-plant spacing and row-row spacing. These results are in line with the findings of Gupta et al. (2006) [2] .
Grain yield
Grain yield, a complex phenomenon is primarily the outcome of genetic constitution of the crop plant as expressed under influence of nutritional, hormonal, environmental and other management factors. It is the most important character regarding economics value of crop for comparing efficiency of various treatments. The data presented in the Table 4.6 and Fig 4 .6 revealed that sowing dates had a significant influence on grain yield of barley. The highest yield produced by D2 may be attributed due to favorable climatic conditions, better plant growth and yield contributing characters. Delayed sowing results in reduced grain yield due to unfavorable weather conditions. The percent increase in D2 from D1 and D3 was 6.1 and 13.5 respectively. Superior results were observed in S4. S4 recorded the maximum grain yield (34.05 qha -1 ) which was significantly higher than S1, S2 and S3. S1 and S2 remained statistically at par with each other. Increase in yield may be due to increased photosynthetic activity which may be resultant of maximum utilization of sunlight in bidirectional spacing. Higher productivity under bi-directional spacing might be due to improved growth parameters viz. plant height, LAI, dry matter accumulation and development of yield components such as no. of effective tillers, ear length, number of grains per ear and thus finally increased grain yield. These results are in close agreements with the findings of Gupta et al. (2006) [2] and Pandey and Kumar (2005) [3] . The possible explanation here can be that, there is closer crop canopy which we can say lesser spacing between plants in all three spacing treatments viz S1, S2, S3 as compared to S4 viz bidirectional due to a constant seed rate. Due to this in all treatments except S4 there is lesser area available because of next plant. However, the row spacing is more which is not fully utilized by plant. So, in case of S4 (Bi-directional), whole area which is in shape of square fully utilized by plant. It might be the reason of more growth, yield and yield contributing characters.
Similarly, straw yield time D2 gives superior results as compared to other sowing times. D2 produced higher straw yield which was significantly higher D3 but remained at par with D1. However, D1 also produced higher straw yield than D3 but both remained at par with each other. In straw yield percent increase with D2 was 10.8 and 15.9 over D1 and D3. Lower straw yield of D3 was due to reduced temperature as compared to other sowing. Crop sown at D1 faces higher temperature, due o which plant could not established fully at their vegetative growth period which leads to poor performance in straw yield. However, at D2 more vegetative growth possibly due to relatively optimum prevailing temperature and proper day length might be the reason for higher straw yield in D2 sown crop In sub plots amongst all treatments that is, row spacing, S4 shows its superiority to all other treatments. S4 produced highest straw yield which was significantly higher thanS1, S2, and S3. Higher straw yield of S4 was due to uniform distribution of plants and higher plant population amongst all other row spacing. It was observed that percent increase with S4 was 2.3, 9.1 and 21.1 over S1, S2 and S3. In bi-directional row spacing crop intercepts more sunlight as compared to other row spacings i.e S1 (15 cm), S2 (22.5 cm) and S3 (30cm). More sunlight more will be photosynthesis which leads to better performance of bidirectional row spacing.
Economics
Benefit cost ratio expresses the extent of benefit or profit earned by applying a particular treatment over its cost of cultivation. According to the data given in the Table 4.12 it is revealed that maximum benefit cost ratio of 2.51 was obtained with D2 (5 Nov), followed by D1 (20 Oct) with B:C ratio of 2.33. However, B:C ratio of 2.19 observed with D3 that was lower than all other treatments.
On the other hand, in sub plot treatments that is row spacing maximum B:C ratio was obtained with S4(22.5cm bi-dir), followed by S1(15 cm) with B:C ratio of 2.10 and S2(22.5cm) with B:C ratio of 2.07. However, B:C of 1.94 was observed with S3(30cm) that remained lower than all other treatments.
Heat Units
Growing degree days (GDD): Growing degree days (GDD) for barley crop under different sowing dates from sowing to maturity are presented in Table 5. The data presented in Table 5 revealed that the growing degree days was reported during D1 to D2 i.e. 1467 to 1346 and again decreased from D2 to D3 i.e. 1237. It may be due to dry spell occurred during crop life cycle. Whereas, D1 treatment indicated more heat load than other treatment of date of sowing i.e.1467. It may be due to maximum air temperature observed at the time of sowing. The lowest heat unit required for attaining various phenophase in D3 treatment due to effect of temperature and delayed sowing during the crop growing season. It is cleared that when the temperature of air was maximum then it will definitely affect GDD of soybean crop.
Photo thermal units (PTU):
The data presented in Table 4. Photo-thermal units for each phenophase were different required by different dates of sowing. The PTU were higher in first date of sowing i.e. 15394. In D2 decreasing slowly up to delayed sowing i.e. 14201. The lowest PTU were in D3 i.e. 13256 than rest of the treatments due to variation of temperature, daylength and dry spell occurred during the crop growing season. The photo thermal units directly or indirectly affect the grain yield of barley by delaying flowering, pod formation. These results are in confirmatory with the work done by Singh et al. (2007) [6] and Neog et al. (2008) [5] .
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