Journal of Agricultural Science and Food Research

Journal of Agricultural Science and Food Research
Open Access

ISSN: 2593-9173

Research - (2019)Volume 10, Issue 3

Evaluation of Sowing Date for Delia arambourgi/Barely Shoot Fly Based on Today’s Environmental Influence

Yimame Kidist Teferra*
 
*Correspondence: Yimame Kidist Teferra, Department of Crop Protection, Holleta Agriculture Research Center, Ethiopian Institution of Agriculture Research, Addis Ababa, Ethiopia, Email:

Author info »

Abstract

Barely shoot fly is a major problem as aspect of insect pest in Ethiopia. This insect best by nature it prefer dry air condition, and its aggressiveness is very high in dry air conditions. The objective of this experiment was to evaluate the barely shoot fly infestation pressure during sowing date variation due to today’s environmental change in Ethiopia; it was done in Holetta Agricultural Research Center. The experimental design was completed by randomized block design within three replications. The varieties during the research used eight food and seven malt barely varieties, these are include, Baleme, Eh1493, Dimtu, Shage, Hb1307, Hb1963, Hb1965, Hb42 and, M-21, Hb1966, Explorer, Holker, Ibon174/03, Traveler, Hb1964 and respectively. The data that were recorded, health plant, damage plant, total tiller, productive tiller and yield. As a result at early set of trial there is high number of health plant (low infestation) and high damage of plant (high infestation) (F29, 6.2 at 0.005=10.8, p<0.0001) and (F29, 1.7 at 0.005=6.9, p<0.0001) respectively compare with the rest depend variable. Due to today’s unconditional environmental changes, the land preparation and sowing date time forced to shift or postponed, so based on metrological forecast, as much as possible need to sowing at early time after the first rain showers.

Keywords

Delia arambourgi; Food and malt barley; Sowing date, Relative humidity; Rain fall; Maximum and minimum temperature

Introduction

In different way world environmental changes, leads insect pressure increment directly or indirectly, this is influence to shift, the sowing date time. Today pesticide side effect is global issue, application pesticide affect our surrounding (ground water, soil organisms, resistant and human health). So, chemical producer companies restricted by international pesticide laws which means to produce chemical pesticides limited by energy money and takes long time to produce effective chemical pesticides which is very expensive, especially for developing countries. To solve insect pest infestation problem and pesticides crises need to develop strategic integrated pest management (IPM). IPM great control option to control insect pests, due to its vital points (safe environment, workers, and keep natural diversity) compare to chemical pesticides. Barely (Hordeum vulgare) is one of major crops grown in Ethiopia which is used for food, feed and beverage, in highlands of Ethiopia. By improving of production constraints through research programs and also government give attention to fulfill Beverage Company’s interest on malt barely. In Ethiopia yield increasing from 1.17 metric tons per hectare to 1.87 metric tons per hectare in small holders growers and also total production increase from 1million tons in 2005 to 1.9 million tons in 2014 [1,2]. There are different obstacles on the barely production, insect pest problems one of production constraint which affects barely production in Ethiopia, barely shoot fly and Russian wheat aphids are the major. In research activities there are great work on breading program to enhance production through releasing different improved varieties but in crops protection not this much success and yet not search out the durable varieties to resist the major pest. Cultural and agronomical practice (sowing date, weeding, tillage, rotation and fertilizers) are good tools to compromise insect pressure [3]. Thus, the objective of this study was to evaluate the shoot fly infestation variation in sowing date variability under today’s environmental changes.

Material and Methods

This experiment was carried out at Holetta Agriculture Research Center, Ethiopian Institute Agriculture Research to evaluate the shoot fly infestation variation in sowing date variability under today’s environmental changes. Experimental design was Complete Randomized Block Designee (CRBD) with three replications. The material that was used to collect the data was rural, data sheets and pencil. The five years of metrological data was taken from metrology station of Holeta Agriculture Research Center (2013- 2019), these metrological data was include, relative humidity (%), rain fall (ml), minimum and maximum temperature (c0) as a secondary data. The varieties that was used in experiment (Baleme, Eh1493, Hb1966, Dimtu, M-21, Shage, Hb1964, Hb1307, Hb1963, Hb42, Hb1965, Explorer, Holker, Travler, and Ibon174/03) eights were food barely and the rest were malt barely varieties. On each plot with in raw diagonally 50 cm measured and within 50 cm, at vegetative growth, diagonally after one month four times in every week was taken, health plant and dead heart was taken in each raw by exclude the outer raw. Total tiller and productive tiller after vegetative growth was taken, mother plants, appearance of leaf color (splotch), wilting, and yield was taken. Data analysis was done by using SAS and mean separation by Tukey’s student zed in single one way ANOVA (P ≤ 0.05).

Result and Discussion

As shown below in the Tables 1 and 2 there is significance difference between early and late set sowing of barely? At early set of trial there is high number of health plant (low infestation) and high damage of plant (high infestation) (F29, 6.2 at 0.005=10.8, p<0.0001) and (F29, 1.7 at 0.005=6.9, p<0.0001) respectively compared with the rest depend variable. This experiment was sown in early Jun, in both years (2017 and 2018), by nature barely shoot fly insect pest at the lower relative humidity its ovipositon capacity is very week and at high rainfall its number of adult shoot fly emergency decreased due to wash away of the eggs from the crop by heavy raining time, this lead to low number of dead heart and high number of healthy plant. As shown in the Table 3, the relative humidity and the rain fall also increased from Jun to August, after mid of august the crop pass the vegetative stage and it can to tolerate. These environmental influence results confide to Kumar and coworkers who are working on sorghum shoot fly [4,5]. In Table 2 indicate, the varieties were used in the experiment barely such like Balem, Explorer, Holker, Traveler, Eh1493, Hb1966 and dimtu have a good performance in the early set trial (have low infestation). Generally almost all selected variety have good performance in all dependent variability (high health plant, high productive tiller, high total tiller and low infestation), even they are good in yield at early sowing date compare to the late date. Wetted land also affects the shoot fly pupa servile, if the sowing time is at early time, after the first rain showers, the land become sufficiently wetted and the shout fly pupa become disturbed and it is difficult to survive and emerge to adult form, the raining is continue, the regeneration and the infestation level of shoot fly become to decreased, but when we sow in late season the winter period become too ended, but the crops still vegetative, the air condition’s also become hot, the shoot fly re infestation is restarted, so due to this complexity, the crop could not escape and tolerate, even its maturity stage is delay, the end point of yield is very affected. So as a recommendation in order to reduced barely shoot fly infestation, if the sowing date acts up on, one up to two week before on time sawing date based on new metrology forecast. Today’s climate conditions varied, time to time, year to year, month to month, as showmen in Tables 3 and 4.

Source of variation
For all dependent
 variables
Dependent variable Mean CF DF Sum square Mean square Fv Pr>f
Variety MHP 10.8 24.2 29 1296.7 15.9 6.2 <.001
Replication       2 17.48 10.3 1.0 0.35
Variety MDP 3.1 33.4 29 51.8 1.7 1.7 0.36
Replication       2 6.2 3.1 2.7 0.08
Variety MTt 10.1 29.7 29 266.5 9.1 1.4 0.0042
Replication       2 398.8 199.4 10.4 0.6
Variety MPt 6.9 47.3 29 800.1 27.5 1.7 <0.0001
Replication       2 10.89 6.0 1.2 0.0002
Variety YkY 0.97 94.4 29 27 0.9 1.0 0.24
Replication       2 1.4 0.7 0.87 0.41

Table 1: Dependent variable source of variation in production season in early set production.

Source of  variabilty Name of cultivar/Varieties (Early sowing date)
Baleme Eh1493 Hb1966 Dimtu M-21 Shage Hb1964 Hb1307 Hb1963 Hb42 Hb 1965 Explorer Holker Traveler Ibon174/03
MHP 15.6 A 14.7A 14.3 A 14.0 AB 13.8 AB 13.5 AB 13.7 AB 11.6 ABCD 13.1 ABCD 12.3 ABCD 14.3 A 15.2 A 14.95 A 11.6 ABCD 12.0 ABCD
MDP 3.6 A 4.0A 3.6AB 3.2 AB 3.0 AB 3.3 AB 2.7 AB 3.3 AB 4.2 A 3.2 AB 3.3 AB 3.2AB 3.3 AB 3.2 AB 3.0 AB
MTt 9.5 A 11.3A 10.1 A 9.8A 8.4 A 8.2 A 10.4 A 10.5 A 11.2 A 10.6 A 9.4 A 9.4 A 10.3 A 10.5 A 9.7 A
MPt 7.1 A 7.9 A 8.6 A 7.5 A 8.0 A 6.6 A 7.8 A 9.6 A 9.0 A 7.8 A 9.0 A 8.8 A 8.9 A 8.0 A 8.8 A
Ygk 1.1 0.62 AB 0.49 B 0.94 AB 0.69 AB 0.73 AB 0.81 AB 0.59 B 0.76 AB 0.7 AB 0.67 AB 0.5 B 0.6 B 0.74 AB 0.64 AB
Source of variablity Name of cultivar/ varieties (Late sowing date)
Hb1965 Ibon174 Holker Hb1307 Shagae M-21 Dimtu Hb1964 Hb42 Traveler Hb1966 Baleme Explorer Hb1963 Eh1493
MHP 9.6BC 8.95 BC 8.75BC 8.4 BC 8 BC 8.5 BC 12.5 ABC 7.7 C 8 BC 7.7 C 6.6 C 6.5C 7.2 C 7.8 C 5.8C
MDP 2.7 AB 3.2 AB 2.6 AB 2.6AB 2.6 AB 2.2 B 2.4 AB 3.7 AB 2.6 AB 3.3 AB 3.1 AB 2.5 AB 3.3 AB 4 A 3 AB
MTt 8.4 A 6.6A 10.7 A 10.7 A 9.6  A 7.8 A 6.7 A 7.1 A 7.9 A 5.8 A 5.8 A 6.5 A 7.8 A 6.5 A 5.8 A
Mpt 8 A 8.6 A 9.2 A 9.2 A 9.3 A 9.4 A 8.0 A 7.6 A 9.3 A 8.2 A 8.6 A 8.3 A 8.4 A 8.4 A 8.1 A
MYgk 0.9 AB 0.82 AB 0.78 AB 0.7 AB 0.73 AB 0.93 AB 1.0 AB 0.76 AB 0.62 B 0.8 AB 0.75 AB 0.74 AB 0.7 AB 0.3B 4.6 A

Table 2: Mean of each dependent variable SAS analysis of early and late set of barely experiment.

Year Month Relative
Humidity (%)
Rain fall (ml) Minimum
Temperature (c0)
Maximum
Temperature (c0)
2013 Jun 56 120.7 10.6 25.8
2013 July 66 81.8 10.6 19.8
2013 August 80 201.9 9.8 22.6
2014 Jun 56 68.4 7.2 24.9
2014 July 59 137.3 9 21.4
2014 August 71 222.4 8.4 20.9
2015 Jun 67 78.2 3.4 25
2015 July 74 27.2 4.4 24.1
2015 August 76 73.5 3.2 24.3
2016 Jun 77 38.4 7.1 24.6
2016 July 83 31.6 7.8 23
2016 August 82 164.9 8.2 21
2017 Jun 77 74.6 8.8 22.1
2017 July 83 172.8 8.8 21.7
2017 August 76 311.4 10.4 22.6
2018 Jun 75.5 204.1 9.1 20.6
2018 July 74.2 225.2 11.4 20.2
2018 August 73.2 234.1 10 19.5

Table 3: The year of 2013-2018 (winter time) environmental conditions during planting time and crop vegetative period (Jun, July and August).

Year Relative humidity (%) Rain fall (ml) Minimum temperature (c0) Maximum temperature (c0)
2013 60.08 63.48 6.4 24.37
2014 63.4 52.8 6.8 21.7
2015 46 38 2.9 19.9
2016 59.6 53.2 6.2 23.9
2017 53.4 97.6 6.5 23.8
2018 52.2 115.4 7.7 22.9

Table 4: The min relative humidity, rain fall and Temperature of Holetta Agriculture research Centre from the Year of 2013-2018.

Conclusion

In Ethiopian production season (winter), the rains temperature, and relative humidity very varied year to year, as shown on that metrological data’s on recorded area. So every farmer and any customers before decide to sowing, need to follow, weather forecasting, the starting time of the rain, the warm (minimum and maximum temperature, relative humidity, soil moisture and Temperature) and insect assessment year to year is also very important before planning to sow the coming production season. So as a recommendation in order to reduced barely shoot fly infestation, if the sowing date act up on, one up to two week before on time sowing date, the shoot fly risk would be reduced rather than late sowing date.

References

  1. CSA (Central Statistical Agency). Agricultural sample survey: area and production of major crops, meher season. Addis Ababa, Ethiopia. 2005; Vol. 1.
  2. CSA (Central Statistical Agency). Agricultural sample survey: area and production of major meher season. Addis Ababa, Ethiopia. 2014; Vol. 1.
  3. Dunphy J, Osmond D. North Carolina soybean production guide/ cultural practices. NC State Extension Publications, NC State University, USA. 2017.
  4. Kumar STV, Reddy AB, Adam MM, Mazumdar KD, Shekharappa P. Impact of weather parameters on shoot fly (Atherigona Soccata. rondani) of sorghum in kharif season. Agriculture Research Station, Anantapur, Andhra Pradesh, India. International. J Agric Sci. 2005; 2: 381-384.
  5. Lobell DB, Gourdji SM. The influence of climate changes on global crop productivity. American Society of Plant Biologists. 2012; 160: 1-4.

Author Info

Yimame Kidist Teferra*
 
Department of Crop Protection, Holleta Agriculture Research Center, Ethiopian Institution of Agriculture Research, Addis Ababa, Ethiopia
 

Citation: Teferra YK (2019) Evaluation of Sowing Date for Delia arambourgi/Barely Shoot Fly Based on Today’s Environmental Influence. J Agri Sci Food Res 10: 264. doi: 10.35248/2593-9173.19.10.264

Received: 20-Aug-2019 Accepted: 11-Sep-2019 Published: 17-Sep-2019 , DOI: 10.35248/2593-9173.19.10.264

Copyright: © 2019 Teferra YK. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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