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1

Xu, NingNing, DiMing Wang, and JianXin Liu. "Variance of Zein Protein and Starch Granule Morphology between Corn and Steam Flaked Products Determined Starch Ruminal Degradability Through Altering Starch Hydrolyzing Bacteria Attachment." Animals 9, no. 9 (August 29, 2019): 626. http://dx.doi.org/10.3390/ani9090626.

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The current study investigated differences of γ-zein protein contents and starch granule characteristics between raw and steam flaked corns and their influences on ruminal starch hydrolyzing bacteria (SHB) attached to corn grain. Two types of raw (Corn1 and Corn2) and their steam-flaked products (SFCorn1 and SFCorn2) were applied to explore physiochemical structures and SHB attachment. SDS-PAGE was conducted to detect γ-zein protein patterns, scanning electron microscope, and small angle X-ray scattering were performed to obtain starch granule morphology, while crystallinity, DQ starch, and DAPI staining were applied to quantify SHB. The steam flaking process destroyed γ-zein proteins and gelatinized starch granules. The median particle size of Corn1 and Corn2 starch granules increased from 17.8 and 18.0 μm to 30.8 and 26.0 μm, but crystallinity decreased from 22.0 and 25.0% to 9.9 and 16.9%, respectively. The percentage of SHB attached to Corn1 residues decreased (p = 0.01) after 4 h incubation, but SHB attached to SFCorn1 residues increased (p = 0.03) after 12 h incubation. Thus, the differences of γ-zein proteins and starch granule physiochemical structures between raw and steam flaked corn played an important role in improving the rate and extent of starch ruminal degradation through altering the process of SHB attached to corn.
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2

Castro, Renato S., Paulo Sérgio L. Silva, and Milton J. Cardoso. "Baby corn, green corn, and dry corn yield of corn cultivars." Horticultura Brasileira 31, no. 1 (March 2013): 100–105. http://dx.doi.org/10.1590/s0102-05362013000100016.

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In corn, when the first female inflorescence is removed, the plant often produces new female inflorescences. This allows the first ear to be harvested as baby corn (BC) and the second as green corn (GC) or dry corn (DC), that is, mature corn. The flexibility provided by a variety of harvested products allows the grower to compete with better conditions in the markets. We evaluated BC, GC, and DC yields in corn cultivars AG 1051, AG 2060, and BRS 2020, after the first ear was harvested as BC. A random block design with ten replicates was utilized. The yields of MM, MV and MS were higher when these products were individually harvested than when they were harvested in combination with baby corn (BC + GC and BC + DC). Cultivar BRS 2020 was the best for producing BC exclusively, considering the number and weight of marketable unhusked ears and the number (NH) of marketable husked ears. Considering weight (WH) of BC marketable husked ears, cultivar AG 1051 was the best. Cultivars did not differ in baby corn yield when this product was harvested in combination with MS or MV, except with regard to NH and WH, with AG 1051 being superior. The cultivars did not differ between total number of ears and number of marketable unhusked green ears. However, cultivars AG 1051 and AG 2060 were the best with respect to marketable unhusked green ears and number and weight of marketable husked green ears. Cultivar AG 1051 was the best with regard to kernel yield.
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3

Sprague, G. F., and J. W. Dudley. "Corn and Corn Improvement." Soil Science 149, no. 2 (February 1990): 121. http://dx.doi.org/10.1097/00010694-199002000-00007.

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4

Blum, A. "Corn and corn improvement." Field Crops Research 22, no. 2 (September 1989): 161–63. http://dx.doi.org/10.1016/0378-4290(89)90067-1.

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5

Boyer, Christopher N., James A. Larson, Roland K. Roberts, Angela T. McClure, Donald D. Tyler, and Vivian Zhou. "Stochastic Corn Yield Response Functions to Nitrogen for Corn after Corn, Corn after Cotton, and Corn after Soybeans." Journal of Agricultural and Applied Economics 45, no. 4 (November 2013): 669–81. http://dx.doi.org/10.1017/s1074070800005198.

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Deterministic and stochastic yield response plateau functions were estimated to determine the expected profit-maximizing nitrogen rates, yields, and net returns for corn grown after corn, cotton, and soybeans. The stochastic response functions were more appropriate than their deterministic counterparts, and the linear response stochastic plateau described the data the best. The profit-maximizing nitrogen rates were similar for corn after corn, cotton, and soybeans, but relative to corn after corn, the expected corn yield plateaus increased by 12% and 16% after cotton and soybeans, respectively. Expected net returns increased for corn after cotton and soybeans relative to corn after corn.
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6

Harrington, Jonathan. "Corn." English Journal 81, no. 7 (November 1992): 99. http://dx.doi.org/10.2307/820765.

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7

Li, Bin, Steven C. H. Hoi, and Vivekanand Gopalkrishnan. "CORN." ACM Transactions on Intelligent Systems and Technology 2, no. 3 (April 2011): 1–29. http://dx.doi.org/10.1145/1961189.1961193.

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8

Webb, Charles Harper. "Corn." Iowa Review 38, no. 3 (December 2008): 114–15. http://dx.doi.org/10.17077/0021-065x.6515.

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9

Shultz, Susan. "Corn." Journal of Agricultural & Food Information 9, no. 2 (April 2008): 101–14. http://dx.doi.org/10.1080/10496500802173905.

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10

Roy Jacobstein. "Corn." Prairie Schooner 83, no. 2 (2009): 130. http://dx.doi.org/10.1353/psg.0.0227.

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11

Singh, Ishwar, Sapna Langyan, and Pranjal Yadava. "Sweet Corn and Corn-Based Sweeteners." Sugar Tech 16, no. 2 (February 1, 2014): 144–49. http://dx.doi.org/10.1007/s12355-014-0305-6.

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12

Bódi, Zoltán, and Pál Pepó. "Possibilities of selection and production of blue and ornamental corn (Zea mays L.)." Acta Agraria Debreceniensis, no. 23 (May 23, 2006): 15–19. http://dx.doi.org/10.34101/actaagrar/23/3200.

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The cultivation of alternative crops has an important role in world agriculture. Their market share is continuously growing in the food industry sector. In the present study, we show the cultivation and breeding perspectives of ornamental and blue corn. There exists possibility to cultivate ornamental corn in Hungary. There are many cultivars of ornamental corn, with various kernel colors, husks, stalks and leave colors. Blue corn is unique among other corns. Blue corn higher in protein, iron and zinc than commercial dent corn. Pests affective ornamental and blue corn are the same as those of other commercial corns. Ornamental and blue corns need to be grown a minimum of 500 m away from commercial yellow dent corn to minimize any cross pollination which may result in off-color kernel. Our aim in the presentation of this review was to broaden Hungarian literature.
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13

Li, Xiaoming, Baisheng Dai, Hongmin Sun, and Weina Li. "Corn Classification System based on Computer Vision." Symmetry 11, no. 4 (April 24, 2019): 591. http://dx.doi.org/10.3390/sym11040591.

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Automated classification of corn is important for corn sorting in intelligent agriculture. This paper presents a reliable corn classification method based on techniques of computer vision and machine learning. To discriminate different damaged types of corns, a line profile segmentation method is firstly used to segment and separate a group of touching corns. Then, twelve color features and five shape features are extracted for each individual corn object. Finally, a maximum likelihood estimator is trained to classify normal and damaged corns. To evaluate the performance of the proposed method, a private dataset consisting of images of normal corn and six kinds of damage corns, including heat-damaged, germ-damaged, cob-rot-damaged, blue eye mold-damaged, insect-damaged, and surface mold-damaged, were collected in this work. The proposed method achieved an accuracy of 96.67% for the classification between normal corns and the first four common damaged corns, and an accuracy of 74.76% was achieved for the classification between normal corns and six kinds of damaged corns. The experimental results demonstrated the effectiveness of the proposed corn classification system.
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14

Burkness, E. C., P. K. O'Rourke, and W. D. Hutchison. "Control of European Corn Borer and Corn Earworm on Sweet Corn, 1997." Arthropod Management Tests 23, no. 1 (January 1, 1998): 94. http://dx.doi.org/10.1093/amt/23.1.94.

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15

Tabashnik, Bruce E., and Fred Gould. "Delaying Corn Rootworm Resistance to Bt Corn." Journal of Economic Entomology 105, no. 3 (June 1, 2012): 767–76. http://dx.doi.org/10.1603/ec12080.

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16

Rowland, S., and B. Cartwright. "Corn Earworm Control on Sweet Corn, 1993." Arthropod Management Tests 19, no. 1 (January 1, 1994): 95. http://dx.doi.org/10.1093/amt/19.1.95.

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17

Bartels, D. W., and W. D. Hutchison. "Insecticidal Control of European Corn Borer and Corn Earworm in Sweet Corn, 1996." Arthropod Management Tests 22, no. 1 (January 1, 1997): 119–20. http://dx.doi.org/10.1093/amt/22.1.119a.

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18

Berner, Robert L., and Adrian C. Louis. "Evil Corn." World Literature Today 79, no. 2 (2005): 107. http://dx.doi.org/10.2307/40158746.

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19

Milius, Susan. "Corn Defenses." Science News 162, no. 11 (September 14, 2002): 166. http://dx.doi.org/10.2307/4013564.

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20

MULLIN, RICK. "CORN CHEMISTRY." Chemical & Engineering News Archive 80, no. 42 (October 21, 2002): 14. http://dx.doi.org/10.1021/cen-v080n042.p014.

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21

Brooks, David. "Seed Corn." Oceanography 2, no. 1 (1989): 3. http://dx.doi.org/10.5670/oceanog.1989.30.

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22

Stokes, Trevor. "Wearable corn." Trends in Plant Science 6, no. 7 (July 2001): 294. http://dx.doi.org/10.1016/s1360-1385(01)02025-8.

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23

Wallace, R. "Corn Snake." Interdisciplinary Studies in Literature and Environment 8, no. 2 (July 1, 2001): 262. http://dx.doi.org/10.1093/isle/8.2.262a.

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24

Leifert, Harvey. "Corn quandary." Nature Climate Change 1, no. 804 (March 20, 2008): 38. http://dx.doi.org/10.1038/climate.2008.24.

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25

Thompson, James C. "Seed Corn." Annals of Surgery 223, no. 5 (May 1996): 453–63. http://dx.doi.org/10.1097/00000658-199605000-00001.

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26

Greene, Jonathan. "Chicken Corn." Appalachian Heritage 15, no. 2 (1987): 70–72. http://dx.doi.org/10.1353/aph.1987.0000.

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27

Eversole, Norma Ramsey. "Chopping Corn." Appalachian Heritage 15, no. 2 (1987): 80–83. http://dx.doi.org/10.1353/aph.1987.0020.

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28

MARLAND, G., and A. TURHOLLOW. "Corn Power." Science 253, no. 5025 (September 13, 1991): 1194. http://dx.doi.org/10.1126/science.253.5025.1194-b.

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29

Jones, David. "Corn circles." Nature 371, no. 6494 (September 1994): 206. http://dx.doi.org/10.1038/371206a0.

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30

Shoptaw, John. "Corn Maze." Colorado Review 37, no. 3 (2010): 140–43. http://dx.doi.org/10.1353/col.2010.0018.

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31

Hampton, David Wayne. "Corn Mash." Appalachian Heritage 40, no. 2 (2012): 128–29. http://dx.doi.org/10.1353/aph.2012.0049.

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32

Abelson, P. H. "Hybrid Corn." Science 249, no. 4971 (August 24, 1990): 837. http://dx.doi.org/10.1126/science.249.4971.837.

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33

Moffat, A. S. "Corn Transformed." Science 249, no. 4969 (August 10, 1990): 630. http://dx.doi.org/10.1126/science.249.4969.630.

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34

Lei, Lei. "Nutritious corn." Nature Plants 4, no. 10 (October 2018): 741. http://dx.doi.org/10.1038/s41477-018-0281-z.

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35

Brown, Theron. "Indian Corn." Journal of Education 52, no. 12 (September 1990): 203. http://dx.doi.org/10.1177/002205749005201212.

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36

Rich, Jordan J., and Kurt A. Rosentrater. "Properties of Extrusion Processed Corn and Corn Coproducts." Journal of Food Research 5, no. 6 (October 12, 2016): 21. http://dx.doi.org/10.5539/jfr.v5n6p21.

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As the world population continues to grow, the demand for human food and animal feed grows exponentially. Aquaculture is the food sector which has been growing at the greatest rate for several years. Because of the expense of fishmeal in aquaculture fees, an inexpensive protein source could be corn-based proteins. Although many studies have focused on the effects of extruding corn-based blends along with other supplement ingredients, few studies have focused on the extrusion of individual corn-based ingredients. This study examined physical effects of extrusion on distillers dried grains with soluble (DDGS) and corn. Specific objectives included determining moisture content, water activity, color, unit density, durability, water stability, floatability, and bulk density for each corn-based extrudate. Blends were prepared with three levels of moisture (15, 25, and 35% db), and extrusion conditions included three screw speeds (50, 75, and 100 rpm) and three barrel temperatures (100, 125, and 150°C). Results showed that as the moisture content increased, the water activity increased in the raw ingredients, and the moisture content of the extrudates increased. As the screw speed increased, the bulk density decreased in the extrudates, and the mass flow rate increased. As the temperature increased, the floatability of the extrudates increased, while the bulk density decreased. The amount of protein and starch content in the corn products affected the physical quality of the pellets, which is important in aquaculture feed development.
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37

Manley, Gary V. "European Corn Borer Management Strategy for Seed Corn." Journal of Sustainable Agriculture 5, no. 1-2 (March 27, 1995): 151–70. http://dx.doi.org/10.1300/j064v05n01_11.

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38

Hashem Abd-Elsattar, Hayat. "Production of Corn Nut Snacks from Corn Kernels." International Journal of Nutrition and Food Sciences 5, no. 6 (2016): 413. http://dx.doi.org/10.11648/j.ijnfs.20160506.17.

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39

Royer, T. A., and K. L. Giles. "Southwestern Corn Borer Control on Irrigated Corn, 1997." Arthropod Management Tests 23, no. 1 (January 1, 1998): 204. http://dx.doi.org/10.1093/amt/23.1.204.

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40

All, J. N., G. D. Buntin, W. A. Gardner, and R. Harrison. "Corn Wireworm Control in No-Tillage Corn, 1995." Arthropod Management Tests 21, no. 1 (January 1, 1996): 209. http://dx.doi.org/10.1093/amt/21.1.209.

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41

Story, R., A. O. Ameen, M. J. Murray, F. Can, and D. Ring. "Control of Corn Earworm on Sweet Corn, 1995." Arthropod Management Tests 22, no. 1 (January 1, 1997): 127. http://dx.doi.org/10.1093/amt/22.1.127.

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42

Sesmero, Juan P. "Corn Residue Supply in the Irrigated Corn Belt." BioEnergy Research 7, no. 2 (January 17, 2014): 728–43. http://dx.doi.org/10.1007/s12155-013-9398-0.

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43

Lazou, Andriana, and Magdalini Krokida. "Functional properties of corn and corn–lentil extrudates." Food Research International 43, no. 2 (March 2010): 609–16. http://dx.doi.org/10.1016/j.foodres.2009.09.017.

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44

Battels, D. W., and W. D. Hutchison. "Insecticidal Control of European Corn Borer and Corn Earworm in Minnesota Sweet Corn, 1995." Arthropod Management Tests 21, no. 1 (January 1, 1996): 107–8. http://dx.doi.org/10.1093/amt/21.1.107a.

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45

Nie, C. R., S. M. Luo, C. X. Lin, R. S. Zeng, J. H. Huang, and J. W. Wang. "Status of DIMBOA and phenolic acids in transgenic Bt corn." Australian Journal of Agricultural Research 56, no. 8 (2005): 833. http://dx.doi.org/10.1071/ar04321.

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Experiments were conducted to investigate the status of DIMBOA (2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one) and phenolic acids in leaves of some transgenic Bt corn hybrids. Comparison between Bt corn hybrids and their corresponding non-transgenic near-isogenic lines suggested that the introduction of the Bt gene has adverse effects on the biosynthesis and accumulation of DIMBOA and some phenolic acids, such as ferulic acid, in the corn plants. Under conditions of either water or nitrogen stress, the accumulation of DIMBOA in the leaves of the Bt corns could be enhanced. The results of this study suggest that caution must be taken when considering the introduction of Bt corns into China because Bt corns may have a weaker capacity, relative to traditional Chinese corn hybrids, to synthesise DIMBOA and some forms of phenolic acids in the leaves and, therefore, reduce the plant’s resistance to pathogens, diseases, and pests other than the targetted corn borer.
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46

Kupai, Kidejus, J. S. Mandey, Y. H. S. Kowel, and M. N. Regar. "PEMANFAATAN BONGGOL PISANG (Musa paradisiaca L.) DALAM RANSUM TERHADAP PERFORMA AYAM BROILER." ZOOTEC 40, no. 2 (July 20, 2020): 636. http://dx.doi.org/10.35792/zot.40.2.2020.29747.

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UTILIZATION OF BANANA CORM (Musa paradisiaca L.) IN DIET ON BROILER CHICKENS PERFORMANCE. The research on the utilization of banana (Musa paradisiacaL.) corm in broiler diet aimed to determine its effect on the performance of broilers, namely the feed intake, weight gain, and feed conversion ratio. The birds used were 100 unsexed days old chicks. This study used a Completely Randomized Design (CRD) consisting of 4 treatments and 5 replications. The composition of the treatment as follows: R0 = 55% corn + 0% banana corm meal (BCM), R1 = 50% corn + 5% BCM, R2 = 45% corn + 10% BCM, R3 = 40% corn + 15% BCM. The result showed that the treatment had a significantly different effect on feedintake, body weight, and feed conversion ratio. Based on the results of the study, it was concluded that banana corm can be used up to 10% in broiler chicken diet.
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47

Halid, Amir, Mohammad Ikbal Bahuwa, Zainudin K. Antuli, and Irawati Abdul. "Distribution development strategy of corn processed (corn stick and corn dodol) production to achieve corn competitive product market in Gorontalo Province." Jurnal Perspektif Pembiayaan dan Pembangunan Daerah 4, no. 4 (June 30, 2017): 245–58. http://dx.doi.org/10.22437/ppd.v4i4.3802.

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48

Hu, Hong Sheng, Qun Feng Niu, and Bo Yuan Cui. "Research on Ultra-Weak Bioluminescence Detection and Features for Freshness of Corn." Applied Mechanics and Materials 727-728 (January 2015): 239–43. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.239.

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Detection of ultra-weak bioluminescence for freshness of corn is not only a problem of corn safe storage but also related to corn quality. The paper built a Virtual Instrument platform based on LabVIEW and PXI4220 modularized hardware of NI. Then, a testing and analysis system for corn ultra-weak bioluminescence features was designed. Different freshness corns were tested and analyzed about the relation of freshness and ultra-weak bioluminescence features. The experimental results shows that the ultra-weak bioluminescence voltage peak values of different freshness corns all maximize about 1 hour, and voltage peak values between different freshness corns have no evident relationship. However, the ultra-weak bioluminescence voltage energy sum of different freshness corns increase progressively with the freshness degree. So, detection of voltage energy sum of different freshness corns can reflect wheat freshness effectively. Comparing with traditional method, the freshness detection method based on wheat ultra-weak bioluminescence features can realize precise, rapid and nondestructive examination.
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49

Cullen, Eileen M., Michael E. Gray, Aaron J. Gassmann, and Bruce E. Hibbard. "Resistance to Bt Corn by Western Corn Rootworm (Coleoptera: Chrysomelidae) in the U.S. Corn Belt." Journal of Integrated Pest Management 4, no. 3 (September 1, 2013): 1–6. http://dx.doi.org/10.1603/ipm13012.

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50

Lipps, Patrick E. "Spread of Corn Anthracnose from Surface Residues in Continuous Corn and Corn-Soybean Rotation Plots." Phytopathology 78, no. 6 (1988): 756. http://dx.doi.org/10.1094/phyto-78-756.

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